Farming is in most places hard work, and farmers need efficient tools and methods in order to make a living. Digital tools and data are gaining ground in many aspects of farming. This section explores what these new technologies have to offer and how much they are actually being used by farmers today.
Proven technologies
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3. Agriculture and land use / Data and precision farming / Proven technologiesPrecision farming: precision positioning for advanced farming solutions
Trimble
© TrimbleThe company has a long track record in satellite-based positioning systems. Based on high-precision GPS location systems such as real-time kinematics, the company offers a range of precision agriculture solutions. In partnership with other companies, Trimble has developed spot spraying and autonomous farm machines. The company’s position technology portfolio is a basis for many precision farming systems and enables farmers to increase efficiencies, enhance productivity and reduce costs while optimizing inputs. These measures result in increased yield, water efficiency, cost savings and enhanced worker safety, as well as reduced carbon emissions and waste.
- Contracting type: For sale
- Technology level: Medium
- Country of origin: United States
- Availability: Worldwide
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3. Agriculture and land use / Data and precision farming / Proven technologiesPrecision farming: telemetry and automation
Corvus
Getty Images /© S-S-SAGDP (Precision Agro-Livestock) is a web-based system capable of receiving data from remote stations (scales, hoppers, harvesters, etc.), organizing it and then processing the data using complex software. Sensors and cameras on various farm machines feed data to the system, allowing for detailed monitoring and automation.
- Contracting type: For sale/service
- Technology level: Medium
- Country of origin: Argentina
- Availability: Argentina
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3. Agriculture and land use / Data and precision farming / Proven technologiesPrecision farming: agricultural drones and autonomous ground vehicles
XAG
Getty Images /© AndreyPopovThe company offers a range of cutting-edge agricultural drones that are designed to modernize farming practices. Central to the company’s portfolio are drones, including the XAG P100, V40, P40, P Series 2020 and P Series 2019 models. This comprehensive suite of drones, robots, AI and IoT applications offer the tools needed for transitioning to a smart agriculture ecosystem.
- Contracting type: For sale
- Technology level: Medium
- Country of origin: China
- Availability: Worldwide
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3. Agriculture and land use / Data and precision farming / Proven technologiesMonitoring: imaging for fruit yield estimation
FruitSpec Ltd.
Getty Images /© andreswdFruitSpec has developed an innovative technology based on hyper-spectral imaging and deep learning algorithms. FruitSpec’s approach allows the analysis of fruit tree images and distinguishes between green leaves and green fruits. Until now, one of the main technological challenges in providing early season fruit yield estimates has been the inability to distinguish green fruit from green leaves in an image. FruitSpec’s technology solves this problem, enabling companies to count the number of fruits and estimate fruit sizes for accurate early season fruit yield estimation. The company claims to be able to generate yield estimates with more than 90 percent accuracy at the start of the growing season when fruits are still green. After analyzing the images uploaded to the cloud, the company provides the customer with a yield estimation report detailing figures such as fruit count, size and weight distribution and heatmaps. This information helps to reduce food loss and optimize production, helping to reduce emissions per fruit harvested.
- Contracting type: For service
- Technology level: Medium
- Country of origin: Israel
- Availability: Argentina, Australia, Chile, Israel, Morocco, South Africa, Spain, United States
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3. Agriculture and land use / Data and precision farming / Proven technologiesFood waste: IoT-enabled cold storage services
Akofresh
Getty Images /© BalonciciThe company’s IoT-enabled mobile off-grid cold storage preservation technology comprises cold room panels, solar panels, sensors, a compressor and an air cooler. The unit extends the shelf life of perishable crops from the usual five-day period to 21 days. Farmers appreciate the technology because it helps them to extend the shelf life of their crops and reduce wastage. The extended storage period allows farmers more time to find buyers or agents to sell their crops to and ensure that the buyer is offering them a fair price.
- Contracting type: For sale/Service
- Technology level: Medium
- Country of origin: Ghana
- Availability: Ghana
Frontier technologies
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3. Agriculture and land use / Data and precision farming / FrontierPrecision farming: automated use of remote sensing for precision spraying
Skymaps
Getty Images /© AndreyPopovSkymaps’ technology, CultiWise, uses remote sensing to enable farmers to gather and analyze real-time data to inform their decision-making. Using aerial imagery from satellites or drones and spectroscopy, CultiWise can operate at a level as granular as the individual plant, enabling targeted chemical application rather than blanket field spraying. This precision reduces chemical usage and enhances yields, leading to cost savings for farmers. The platform is aligned with the rapid transformation of the agriculture industry, providing an accessible and user-friendly tool for farmers to optimize their practices through data-driven insights.
- Contracting type: For sale/service
- Technology level: Medium
- Country of origin: Czech Republic
- Availability: Europe
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3. Agriculture and land use / Data and precision farming / FrontierPrecision farming: laser weeding module using computer vision to detect weeds
Carbon Robotics
Getty Images /© JJ GouinLaserWeeder is a module that attaches to a tractor and uses an AI-powered algorithm to differentiate between weeds and a series of recognized crops. High-powered, precise lasers are used to kill any weeds detected. The module includes a series of 42 different cameras which form part of a feedback-loop, allowing the deep learning algorithm to identify crops and differentiate them from weeds. There are 30 different lasers that can fire every 50 milliseconds and are effective in different lighting conditions.
- Contracting type: For sale
- Technology level: Medium
- Country of origin: United States
- Availability: United States
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3. Agriculture and land use / Data and precision farming / FrontierPrecision farming: drones, autonomous farm machines and precision sprayers for precision agriculture
John Deere
Getty Images /© baranozdemirThe company offers a range of technologically advanced products for farming and agriculture. Their electrification solutions replace traditional engines and hydraulics with electric drives, resulting in greater efficiency and lower emissions. The zero emission compact utility tractor is designed for sustainable farming, with high power output and low maintenance costs. The eAutoPowr transmission is a wear-free and efficient continuously variable transmission that provides electrical power for external consumption. John Deere also collaborates on innovative projects, such as the large spraying drone (VoloDrone) for crop protection and autonomous electric tractors for reduced soil compaction. AI is integrated into the company’s “See & Spray” technology, recognizing and treating weeds precisely and thereby reducing pesticide usage. The Command Cab is an AI-powered farm machinery control and operations system.
- Contracting type: For sale
- Technology level: Medium
- Country of origin: United States
- Availability: Worldwide
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3. Agriculture and land use / Data and precision farming / FrontierPrecision farming: fixed-wing drone for field mapping
AgEagle
Getty Images /© olloThe eBee Ag is a fixed-wing drone which maps fields to a high degree of accuracy. The device is fully portable, folds up into a waterproof backpack and is launched by hand. The underside of the drone is constructed of polypropylene mesh to ensure that it is shock-absorbent. The construction is modular so broken parts can be easily replaced. Use cases include land surveying, water and soil management, weed control and yield prediction for crops. Users map out an area that they would like to survey and the flight plan is generated automatically by the software. The drone has a flight time of up to 55 minutes, which allows it to map 160 hectares in a single flight. It also includes real-time kinematics within its camera, which allows it to map to an accuracy of 2.5 cm.
- Contracting type: For sale
- Technology level: Medium
- Country of origin: United States
- Availability: Switzerland, United States
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3. Agriculture and land use / Data and precision farming / FrontierMonitoring: crop monitoring using advanced satellite data and analytics
EOS Data Analytics
Getty Images /© PJPhoto69Based on their own constellation of seven specialized agriculture monitoring satellites and publicly available satellites, the company provides detailed field and forest mapping for a range of crop development variables. The system can monitor crop growth as a function of weather and input use, detect changes and allow for resource-efficient planning of the growing season. The data provided can provide a basis for precision farming systems.
- Contracting type: For sale/service
- Technology level: Medium
- Country of origin: Ukraine
- Availability: Worldwide
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3. Agriculture and land use / Data and precision farming / FrontierData in farming: IoT, business intelligence and blockchain technology for smart agriculture
Libelium
Getty Images /© B4LLSLibelium provides IoT solutions for water management and environmental monitoring across sectors such as agriculture, industry and smart cities. The company’s Plug & Sense Smart Environment PRO enables real-time monitoring of temperature, humidity, particulate matter and various gases. In response to the growing concern over meat consumption’s environmental impact, livestock producers are using Libelium’s technology to reduce emissions. By using IoT solutions, intensive cattle farming projects can optimize livestock production by monitoring animal feeding, behavior and environmental conditions. Collected data is analyzed on a web platform, enabling stakeholders to make informed decisions and mitigate greenhouse gas emissions. Libelium’s web platform employs business intelligence techniques, generating models and simulations to define optimal configurations and improve farm performance.
- Contracting type: For sale/service
- Technology level: Medium
- Country of origin: Spain
- Availability: European Union
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3. Agriculture and land use / Data and precision farming / FrontierData in farming: digital agriculture platform in China
Syngenta
Getty Images /© structuresxxThe Modern Agriculture Platform (MAP) by Syngenta establishes a transformative network of MAP Centers designed to facilitate sustainable farm modernization. This platform guides farmers toward modern practices that enhance crop quality and profitability, while reducing environmental impact. An integral aspect of MAP is the MAP beSide program, a strategic initiative aimed at assisting farmers in cultivating premium, traceable crops using environmentally conscious methods. Collaboration with Alibaba’s Hema fresh grocery chain (a prominent player in China’s online retail landscape) amplifies the platform’s impact by channeling high-quality crops to consumers through a respected retail channel.
- Contracting type: For sale
- Technology level: Medium
- Country of origin: China
- Availability: China
Horizon technologies
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3. Agriculture and land use / Data and precision farming / HorizonPrecision farming: automated artichoke cultivation
Universidad Privada Antenor Orrego
Getty Images /© Svetlana MonyakovaThe technology is a robotic system that automates the quality control of artichoke seedling growth, providing three levels of quality: good, regular and bad. The system complements the work of specialized operators, increasing the productive capacity of a nursery and therefore increasing the customer portfolio and decreasing instances of final customers returning stock. The robotic system comprises the following modules: a standard artichoke germination tray feeder, a computer vision component, a seedling elevator and a multi-articulated gripper. Each element is efficiently integrated allowing the system to perform continuous, stable and robust quality control of seedling growth in industrial nurseries. Currently the system’s transplant success rate (pick, transfer and drop) is over 98 percent.
- Contracting type: N/A
- Technology level: High
- Country of origin: Peru
- Availability: N/A
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3. Agriculture and land use / Data and precision farming / HorizonPrecision farming: precision crop-spraying systems
Greeneye Technology
Getty Images /© moiseXVIIThe company aims to reduce chemical usage while increasing productivity and profitability for farmers through the application of AI and deep learning. By transitioning from broadcast spraying to precise and selective spraying of pesticides, the company’s products streamline the pest control process in agriculture. Greeneye’s proprietary Selective Spraying system seamlessly integrates with existing agricultural sprayers, allowing real-time and species-specific spraying of chemicals only where needed. With modular design and compatibility with the Agricultural Industry Electronics Foundation (AEF) ISOBUS Database, Greeneye’s system can be easily integrated into any sprayer. This innovative approach offers seamless integration, affordability and the ability to simultaneously perform contact and residual herbicide spraying, maximizing profitability for farmers.
- Contracting type: N/A
- Technology level: High
- Country of origin: Canada
- Availability: N/A
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3. Agriculture and land use / Data and precision farming / HorizonPrecision farming: Per Plant farming – using robotics for precision farming
Small Robot Company
Getty Images /© fotokosticThe company aims to revolutionize agriculture through the use of robotics and AI, creating a sustainable and profitable farming model known as Per Plant farming. Traditional farming methods are facing challenges such as stagnating yields, rising machinery costs and environmental crises caused by heavy machinery and chemical use. Per Plant precision agriculture offers a solution that is kinder to the soil, the environment and farmers’ profitability. By leveraging autonomous data collection and processing, the company provides Per Plant Intelligence as a service, enabling farmers, seed companies and nutrient companies to make informed decisions based on detailed crop health insights. Their robots, Tom and Wilma, autonomously map fields, digitize plant locations and provide AI-driven advice for optimal crop management, reducing herbicide usage and improving fertilizer application timing. The company’s technology empowers farmers to achieve increased yields, environmental sustainability and financial success.
- Contracting type: N/A
- Technology level: Medium
- Country of origin: United Kingdom
- Availability: N/A
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3. Agriculture and land use / Data and precision farming / HorizonPrecision farming: Bug Vacuum – autonomous insect removal robot
Agrobot
Getty Images /© HalfpointThe Bug Vacuum is an autonomous robot that navigates a predetermined path, turning at the end of each row and aspirating lygus bugs which are present in crops. The fan height is adjustable to optimize the fan’s ability to aspirate the bugs. The technology has a number of inbuilt safety mechanisms, including sensors to detect obstacles and a safety bumper that engages the brakes in the event of a collision.
- Contracting type: N/A
- Technology level: High
- Country of origin: Spain
- Availability: N/A
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3. Agriculture and land use / Data and precision farming / HorizonPrecision farming: autonomous agricultural robot for weeding, seeding, spraying and planting
XMachines
Getty Images /© JJ GouinThe company is an Indian robotics and AI company based in Hyderabad that specializes in designing and manufacturing autonomous agricultural robots for precision farming. XMachines’ miniature tractor-like robotic device utilizes AI and robotics to function as a reliable farm hand, offering precision in various farm activities. The robot can be used for seed and sapling planting, micro spraying, fertilizer spraying and other tasks with accuracy and efficiency. Through their AI-enabled robotic machines, XMachines seeks to provide cost-effective solutions for small-scale farmers with small land holdings and empower them with the benefits of mechanization. The robots can operate autonomously or be controlled manually through a joystick. The devices bring much-needed precision and efficiency to farm operations, helping farmers save on costs and enhance productivity.
- Contracting type: N/A
- Technology level: Medium
- Country of origin: India
- Availability: N/A
Innovation examples
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3. Agriculture and land use / Data and precision farming / Innovation examplesUsing drones for pesticide treatment of pepper trees in China
Getty Images /© ozgurdonmazSichuan pepper is a popular Chinese chili spice often grown on irregular terrain and slopes. In Jiangjin district, DJI Agras MG-1 drones were used to apply pesticides against the highly damaging spider mite. The trees grow between 2 and 7 m tall and are typically sprayed manually using backpack sprayers which can cover around 0.5 hectare per day. The drones can spray around 4 hectares per day, thus dramatically increasing efficiency and improving crop protection, with the latter having potential climate change mitigation benefits. The deployment of drones was supported by a nationwide pilot subsidy program.[156]
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3. Agriculture and land use / Data and precision farming / Innovation examplesSatellite images for forage index assurance
Getty Images /© Jitti NarksompongLivestock farmers are dependent on good pastures, but the yield and quality vary from one year to another and are being influenced by climate change. Having the right pasture and feed is also crucial for the health and productivity of the animals, which again influences the amount of GHG emitted, not least methane. A targeted insurance product can help provide farmers with the quality feed they need when their own pastures fail and is therefore a solution with both climate change adaptation and mitigation qualities. The French insurance companies Crédit Agricole Assurances and Pacifica Assurances Dommages have developed a forage insurance product that relies on multispectral satellite images supplied by Airbus. The satellite observations allow the companies to monitor pasture development in real time and generate maps showing the percentage of green vegetation cover which are used to create a yearly grassland production index. Scientific in-field observations over several years have established a solid correlation between the index produced and real growth. This allows farmers to receive insurance payouts on time without the need for time-consuming in-field inspections, etc. Such index-based crop insurance products are also increasingly becoming available to farmers in developing countries and can provide an important livelihood safeguard against climate change impacts. Crédit Agricole has commercialized index-based pasture insurance since 2015.[157]
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3. Agriculture and land use / Data and precision farming / Innovation examplesAgricultural drones in Türkiye
Getty Images /© KinwunFarmers in Türkiye are using sprayer drones to save labor costs and reduce chemical and water use in crop spraying. Reduced chemical use lowers emissions from crop production and is beneficial for soil health and soil carbon. As crops mature, conventional tractors with spraying equipment destroy plants and struggle with access in muddy fields. Daytime spraying is hindered by the country’s high temperatures and strong sunlight, while nighttime spraying often results in excessive use of chemicals. To address these challenges, farmers are turning to GPS-guided sprayer drones. Drones are much faster than tractor-based spraying and, as they do not touch the field, they neither damage plants, get stuck in mud nor require irrigation hoses to be removed to allow access. In the city of Konya, farmers have drastically reduced the use of chemicals and therefore also water for spraying, which is becoming an increasingly critical resource. In the Trakya region, an insect attack on sunflower crops in 2022 caused severe damage and led to a trial spraying of affected areas using drones. The positive results led to the purchase of two spraying drones. The Chamber of Agriculture of Aksaray is now actively promoting agricultural drones, with plans to extend drone services to all farmers in the region in 2023.[158]
IPCC (2021).
IPCC (2023). Synthesis report (SYR) of the IPCC sixth assessment report (AR6): Summary for policymakers. Geneva: Intergovernmental Panel on Climate Change (IPCC). Available at: https://www.ipcc.ch/report/ar6/syr/
Ivanovich, C.C., et al. (2023). Future warming from global food consumption. Nature Climate Change, 13(3), 297–302.
IPCC (2022). Climate change 2022: Mitigation of climate change – Technical summary, Working Group III contribution to IPCC sixth assessment report. Cambridge, UK: Intergovernmental Panel on Climate Change (IPCC). Available at: https://www.ipcc.ch/report/sixth-assessment-report-working-group-3/
FAO (2023). Land use in agriculture by the numbers. Food and Agriculture Organization of the United Nations (FAO). Available at: http://www.fao.org/sustainability/news/detail/en/c/1274219/ [accessed May 2023].
World Bank (2023). Water in agriculture. World Bank. Available at: https://www.worldbank.org/en/topic/water-in-agriculture
Nawaz, A., et al. (2022). Increasing sustainability for rice production systems. Journal of Cereal Science, 103, 103400.
Sozzi, M., et al. (2018). Patent trends in agricultural engineering. Jelgava, Latvia: Engineering for rural development and University of Padova, Italy. Available at: https://www.tf.lbtu.lv/conference/proceedings2018/Papers/N329.pdf
EPO (2022). Space-borne sensing and green applications, Patent insight report. Munich, Germany: European Patent Office. Available at: https://link.epo.org/web/Space-borne%20sensing%20and%20green%20applications%20report.pdf
Caner, D., J. Claes, D. De Clercq and M. Taksyak (2023). Needle in a haystack: Patents that inspire agricultural innovation. McKinsey & Company. Available at: https://www.mckinsey.com/industries/agriculture/our-insights/needle-in-a-haystack-patents-that-inspire-agricultural-innovation [accessed October 2023].
Trappey, A.J.C.,
Chapelier, E., Hanaf, A. and Gourragne A. (2020). Patent mapping analysis in the field of agricultural robotics. Global Organization For Agricultural Robotics (GOFAR). Available at: https://www.agricultural-robotics.com/news/patent-mapping-analysis-in-the-field-of-agricultural-robotics [accessed October 2023].
Caprarulo, V.,
Fatimi, A. (2021). The use of seaweeds in the formulation of feeds for livestock: Patent analysis. In
IP Australia (2023). Patent analytics on low emission technologies. Intellectual Property Office of Australia. Available at: https://www.ipaustralia.gov.au/tools-and-research/professional-resources/data-research-and-reports/publications-and-reports/2022/11/30/03/16/patent-analytics-on-low-emission-technologies [accessed October 2022].
ESA (2023). A closer look at the latest earth observation services industry trends. The European Space Agency (ESA). Available at: https://space-economy.esa.int/article/72/a-closer-look-at-the-latest-earth-observation-services-industry-trends [accessed October 2023].
Pixalytics (2023). How many earth observation satellites orbiting in 2023? Pixalytics. Available at: https://www.pixalytics.com/earth-observation-satellites-2023/ [accessed October 2023].
EPO (2022). Space-borne sensing and green applications. Patent insight report, Munich, Germany: European Patent Office. Available at: https://link.epo.org/web/Space-borne%20sensing%20and%20green%20applications%20report.pdf
CPI (2022).
CPI (2023).
CPI (2022).
Berkeley (2023). Berkeley carbon trading project: Voluntary registry offsets database. Center for Environmental Public Policy (CEPP) and Goldman School of Public Policy, University of California, Berkeley. Available at: https://gspp.berkeley.edu/research-and-impact/centers/cepp/projects/berkeley-carbon-trading-project/offsets-database [accessed October 2023].
CPI (2022).
CPI (2020).
CPI (2022).
AgFunder (2022).
Bashi, Z.,
McKinsey (2022).
BCG (2022).
Climate ADAPT (2023). Precision Agriculture. The European Climate Adaptation Platform Climate-ADAPT. Available at: https://climate-adapt.eea.europa.eu/en/metadata/adaptation-options/precision-agriculture [accessed October 2023].
EDF (2023). ‘Precision Agriculture Loan Act’ unlocks new financing for climate solutions. Environmental Defense Fund (EDF). Available at: https://www.edf.org/media/precision-agriculture-loan-act-unlocks-new-financing-climate-solutions [accessed October 2023].
MarketsandMarkets (2023). Precision farming market size, share, industry report, revenue trends and growth drivers. MarketsandMarkets. Available at: https://www.marketsandmarkets.com/Market-Reports/precision-farming-market-1243.html [accessed October 2023].33
AgFunder (2022).
World Bank (2023). World bank loan will support reducing methane, saving water in Hunan’s rice paddies. World Bank Group. Available at: https://www.worldbank.org/en/news/press-release/2023/05/31/world-bank-loan-will-support-reducing-methane-saving-water-in-hunan-s-rice-paddies [accessed October 2023].
IFAD (2023). New IFAD initiative will help reduce global warming by lowering methane emissions from small-scale farming. International Fund for Agricultural Development (IFAD). Available at: https://www.ifad.org/en/web/latest/-/new-ifad-initiative-will-help-reduce-global-warming-by-lowering-methane-emissions-from-small-scale-farming
Berkeley (2023). Berkeley carbon trading project. Voluntary registry offsets database. Center for Environmental Public Policy (CEPP), Goldman School of Public Policy, University of California, Berkeley. Available at: https://gspp.berkeley.edu/research-and-impact/centers/cepp/projects/berkeley-carbon-trading-project/offsets-database [accessed October 2023].
Precedence Research (2023). Regenerative agriculture market. Precedence Research. Available at: https://www.precedenceresearch.com/regenerative-agriculture-market [accessed October 2023].
PepsiCo (2023). Pepsico issues new $1.25 billion 10-year green bond as company accelerates pep+ transformation. PepsiCo. Available at: https://www.pepsico.com/our-stories/press-release/pepsico-issues-new-125-billion-10-year-green-bond-as-company-accelerates-pep-tra07202022 [accessed October 2023].
Danone (2020). Danone North America and the National Fish and Wildlife Foundation join forces. Danone North America. Available at: https://www.danonenorthamerica.com/news/danone-north-america-and-the-national-fish-and-wildlife-foundation-join-forces-to-leverage-3-million-in-federal-funding-for-shared-commitment-to-regenerative-agriculture/ [accessed October 2023].
European Commission (2021). Evaluation of the impact of the Common Agricultural Policy on climate change and greenhouse gas emissions.
USDA (2022).
Climatewatch (2023). Climatewatch. Available at: https://www.climatewatchdata.org/ [accessed May 2023].
Havlík, P.,
FAO (2019).
FAO (2016).
FAO (2016).
FAO (2016).
CCAC (2023). Enteric fermentation. Climate & Clean Air Coalition (CCAC) and United Nations Environment Programme (UNEP). Available at: https://www.ccacoalition.org/eN/Activity/enteric-fermentation [accessed May 2023].
IPCC (2022).
FAO (2016).
FAO (2016).
Pasture.io (2023). Scientists are breeding climate-friendly cows & soon they’ll be on your farm. Pasture.io. Available at: https://pasture.io/dairy-industry/breeding-climate-friendly-cows [accessed July 2023].
Cargill (2023). How feed impacts your farm’s methane output. Cargill. Available at: http://dx.doi.org/ [accessed June 2023].
FAO (2019).
FAO (2017).
OECD and FAO (2023).
OECD and FAO (2023).
UN (2023). Peace, dignity and equality on a heathy planet. United Nations (UN). Available at: https://www.un.org/en/global-issues/population [accessed May 2023].
Corichi, M. (2021). Eight-in-ten Indians limit meat in their diets, and four-in-ten consider themselves vegetarian. Pew Research Center. Available at: https://www.pewresearch.org/short-reads/2021/07/08/eight-in-ten-indians-limit-meat-in-their-diets-and-four-in-ten-consider-themselves-vegetarian/ [accessed August 2023].
Leveau, M. (2022). The FoodTech Innovation ‘blind spots’ of the last decade – Going beyond the hype – Part 1. Forward Fooding. Available at: https://forwardfooding.com/blog/foodtech-trends-and-insights/the-foodtech-innovation-blind-spots-go-beyond-the-hype-part-1/ [accessed 2023 June].
Leveau, M. (2022). The FoodTech Innovation ‘blind spots’ of the last decade – Going beyond the hype - Part 1. Forward Fooding. Available at: https://forwardfooding.com/blog/foodtech-trends-and-insights/the-foodtech-innovation-blind-spots-go-beyond-the-hype-part-1/ [accessed 2023 June].
Protein Directory (2023). Protein Directory – The largest alt protein database globally. Available at: https://proteindirectory.com/ [accessed June 2023].
Leveau, M. (2022). The FoodTech Innovation ‘blind spots’ of the last decade - Going beyond the hype - Part 1. Forward Fooding. Available at: https://forwardfooding.com/blog/foodtech-trends-and-insights/the-foodtech-innovation-blind-spots-go-beyond-the-hype-part-1/ [accessed 2023 June].
Crownhart, C. (2023). Here’s what we know about lab-grown meat and climate change.
Paradisi, L. (2021). Understanding the future of protein. Forward Fooding. Available at: https://forwardfooding.com/blog/foodtech-trends-and-insights/understanding-the-future-of-protein/ [accessed July 2023].
FAO (2019).
Engler, J.-O. and H. von Wehrden (2018). Global assessment of the non-equilibrium theory of rangelands: Revisited and refined.
Hardin, G. (1968). The tragedy of the commons.
Ross, E.B. (1998).
Helldén, U. (1991). Desertification – Time for an assessment.
Fairhead, J. and M. Leach (1996). Colonial science & its relics in West Africa. In M. Leach and R. Mearns (eds)
Fairhead, J. and M. Leach (1996).
Oksen, P. (2001).
Ellis, J.E., M.B. Coughenour and D.M. Swift (1993). Climate variability, ecosystem stability, and the implications for range and livestock development. In R.H. Behnke, I. Scoones and C. Kerven (eds),
Smith, S. (2023). 10 things you should do to get started with regenerative grazing. Noble Research Institute. Available at: https://www.noble.org/regenerative-agriculture/10-things-you-should-do-to-get-started-with-regenerative-grazing/ [accessed July 2023].
FAO (2017).
CCAC (2023). Uruguay reduces livestock emissions while increasing productivity in a ccac-supported pilot project. Climate & Clean Air Coalition (CCAC) and United Nations Environment Programme (UNEP). Available at: https://www.ccacoalition.org/news/uruguay-reduces-livestock-emissions-while-increasing-productivity-ccac-supported-pilot-project [accessed October 2023].
CCAC (2023). Enteric fermentation. Climate & Clean Air Coalition (CCAC). United Nations Environment Programme (UNEP). Available at: https://www.ccacoalition.org/eN/Activity/enteric-fermentation [accessed May 2023].
FAO (2023). Global Livestock Environmental Assessment Model (GLEAM). Food and Agriculture Organization of the United Nations (FAO). Available at: https://www.fao.org/gleam/en/ [accessed May 2023].
O’Sullivan, A.,
UNFCCC (2023). Land use, land-use change and forestry (LULUCF). United Nations Framework Convention on Climate Change (UNFCCC). Available at: https://unfccc.int/topics/land-use/workstreams/land-use--land-use-change-and-forestry-lulucf [accessed July 2023].
Ritchie, H., F. Spooner and M. Roser (2021). Deforestation and forest loss. OurWorldInData.org. Available at: https://ourworldindata.org/forests-and-deforestation [accessed August 2023].
Ritchie, H. (2021). Cutting down forests: What are the drivers of deforestation? OurWorldinData.org. Available at: https://ourworldindata.org/what-are-drivers-deforestation [accessed August 2023].
Geist, H.J. and E.F. Lambin (2002). Proximate causes and underlying driving forces of tropical deforestation: Tropical forests are disappearing as the result of many pressures, both local and regional, acting in various combinations in different geographical locations.
Ritchie, H. (2021). Cutting down forests: What are the drivers of deforestation? OurWorldinData.org. Available at: https://ourworldindata.org/what-are-drivers-deforestation [accessed August 2023].
Ritchie, H., F. Spooner, and M. Roser (2021). Deforestation and forest loss. OurWorldInData.org. Available at: https://ourworldindata.org/forests-and-deforestation [accessed August 2023].
Ritchie, H., F. Spooner, and M. Roser (2021). Deforestation and forest loss. OurWorldInData.org. Available at: https://ourworldindata.org/forests-and-deforestation [accessed August 2023].
UNFCCC (2023). Land use, land-use change and forestry (LULUCF). United Nations Framework Convention on Climate Change (UNFCCC). Available at: https://unfccc.int/topics/land-use/workstreams/land-use--land-use-change-and-forestry-lulucf [accessed August 2023].
World Bank (2023). Eight Amazonian countries with the power to save the planet. The World Bank. Available at: https://www.worldbank.org/en/news/feature/2023/07/05/ocho-paises-de-la-amazonia-con-el-poder-de-salvar-el-planeta-america-latina [accessed July 2023].
IPCC (2021).
Ritchie, H., F. Spooner, and M. Roser (2021). Deforestation and forest loss. OurWorldInData.org. Available at: https://ourworldindata.org/forests-and-deforestation [accessed August 2023].
Bossio, D.A.,
Hicks Pries, C.E.,
EEA (2022). Briefing: Soil carbon. European Environment Agency (EEA). Available at: https://www.eea.europa.eu/publications/soil-carbon [accessed June 2023].
Hawkins, H.-J.,
Hicks Pries, C.E.,
MIT (2023). Soil-based carbon sequestration. Massachusetts Institute of Technology (MIT). Available at: https://climate.mit.edu/explainers/soil-based-carbon-sequestration [accessed June 2023].
IPCC (2021). Working Group I sixth assessment report: The physical science basis. Full report. Geneva: Intergovernmental Panel on Climate Change (IPCC). Available at: https://www.ipcc.ch/report/ar6/wg1/#SPM
Bossio, D.A.,
4 per 1000 (2023). The international “4 per 1000” initiative – Soils for food security and climate. Agricultural Research Centre for International Development (CIRAD). Available at: https://4p1000.org/?lang=en [accessed June 2023].
Bossio, D.A.,
Ellis, J. (2023). Reversing agriculture’s emissions with carbon-fixing soil inputs. Cleantech Group. Available at: https://www.cleantech.com/reversing-agricultures-emissions-with-carbon-fixing-soil-inputs/ [accessed July 2022].
Spears, S. (2018). What is biochar? Regeneration International. Available at: https://regenerationinternational.org/2018/05/16/what-is-biochar/ [accessed June 2023].
Baker, J.C. and K.E. Saxton (2007). The ‘what’ and ‘why’ of no-tillage farming. In C.J. Baker and K.E. Saxton (eds),
Powlson, D.S.,
Rainbow, R. and R. Derpsch (2011). Advances in no-till farming technologies and soil compaction management in rainfed farming systems. In P. Tow, et al. (eds),
FAO (2021). A step-by-step approach toward a gradual adoption of the full conservation agriculture technology: An example from Timor-Leste.
Rainbow, R. and R. Derpsch (2011). Advances in no-till farming technologies and soil compaction management in rainfed farming systems. In P. Tow, et al., eds.,
Rainbow, R. and R. Derpsch (2011). Advances in no-till farming technologies and soil compaction management in rainfed farming systems. In P. Tow, et al., eds.,
Colbach, N. and S. Cordeau (2022). Are no-till herbicide-free systems possible? A simulation study.
Hanley, S. (2022). Agrivoltaics – Solar panels & tomatoes may be perfect for each other. Cleantechnica. Available at: https://cleantechnica.com/2022/12/01/agrivoltaics-solar-panels-tomatoes-may-be-perfect-for-each-other/ [accessed July 2023].
Casey, T. (2023). More bad news for fossil fuels: Rooftop solar meets agrivoltaics. Cleantechnica. Available at: https://cleantechnica.com/2023/04/07/more-bad-news-for-fossil-fuels-rooftop-solar-meets-agrivoltaics/ [accessed July 2023].
FAO (2022).
IRRI (2023). Manual transplanting. International Rice Research Institute (IRRI). Available at: http://www.knowledgebank.irri.org/training/fact-sheets/crop-establishment/manual-transplanting#:~:text=Why%20transplant%20rice%3F,and%20has%20variable%20water%20levels. [accessed July 2023].
IRRI (2019). Machine transplanting. International Rice Research Institute (IRRI). Available at: https://ghgmitigation.irri.org/mitigation-technologies/machine-transplanting [accessed July 2023].
Linquist, B.,
Umali-Deininger, D. (2022).
Kurnik, J. and K. Devine (2022). Innovation in reducing methane emissions from the food sector: Side of rice, hold the methane. World Wildlife Fund. Available at: https://www.worldwildlife.org/blogs/sustainability-works/posts/innovation-in-reducing-methane-emissions-from-the-food-sector-side-of-rice-hold-the-methane [accessed July 2023].
WRI (2023). Our world in data: Emissions by sector. World Reesources Institute (WRI). Available at: https://ourworldindata.org/emissions-by-sector [accessed June 2023].
Kurnik, J. and K. Devine (2022). Innovation in reducing methane emissions from the food sector: Side of rice, hold the methane. World Wildlife Fund. Available at: https://www.worldwildlife.org/blogs/sustainability-works/posts/innovation-in-reducing-methane-emissions-from-the-food-sector-side-of-rice-hold-the-methane [accessed July 2023].
Umali-Deininger, D. (2022).
Zhijiang, X. (2023). Chinese rice farming trials cut methane emissions. China Dialogue. Available at: https://chinadialogue.net/en/food/chinas-rice-farming-trials-cut-methane-emissions-and-increase-yields/ [accessed July 2023].
Xiaodan, Y. (2022). Rice can also reduce carbon emissions! A low-carbon experiment in the field: How to build a closed loop of technology, cost, and carbon trading? Daily Economic News newspaper. Available at: https://www.nbd.com.cN/Articles/2022-10-21/2505684.html [accessed July 2023].
Arunrat, N.,
Li, J., Y. Xin and L. Yuan (2009).
Cornell University (2017). System of rice intensification – SRI methodologies. Cornell University, College of Agriculture and Life Sciences. Available at: http://sri.ciifad.cornell.edu/aboutsri/methods/index.html [accessed July 2017]
Lai, C. (2022). System of rice intensification: A solution to methane emissions and food insecurity. Earth.org. Available at: https://earth.org/system-of-rice-intensification/ [accessed July 2023].
Oksen, P. (2023). Climate smart technologies in adaptation – Agriculture – Sustainable Success Stories. Available at: https://sustainablesuccessstories.org/technologies/climate-smart-technolgies-adaptation-agriculture/ [accessed July 2023].
IRRI (2021). How to manage water.
Anand, S. (2023). Rice acreage down 13% till Aug 5 due to rain shortfall. India Times. Available at: https://economictimes.indiatimes.com/news/economy/agriculture/rice-acreage-down-13-till-aug-5-due-to-rain-shortfall/articleshow/93439236.cms [accessed July 2023].
IRRI (2019). Alternate wetting and drying. International Rice Research Institute (IRRI). Available at: https://ghgmitigation.irri.org/mitigation-technologies/alternate-wetting-and-drying [accessed July 2023].
Alauddin, M.,
IRRI (2019). Laser land levelling. International Rice Research Institute (IRRI). Available at: https://ghgmitigation.irri.org/mitigation-technologies/laser-land-leveling [accessed July 2023].
IRRI (2021). How to manage water.
Zhijiang, X. (2023). Chinese rice farming trials cut methane emissions. China Dialogue. Available at: https://chinadialogue.net/en/food/chinas-rice-farming-trials-cut-methane-emissions-and-increase-yields/ [accessed July 2023].
IRRI (2019). Dry seeded rice. International Rice Research Institute (IRRI). Available at: https://ghgmitigation.irri.org/mitigation-technologies/dry-seeded-rice [accessed July 2023].
Ahmadi, N.,
Xu, H.-l.,
Shaohua, C.,
Kang, M.,
Checherina, P. (2022). Using climate-smart rice to reduce methane emissions from agriculture. Climate & Clean Air Coalition (CCAC) and United Nations Environment Programme (UNEP). Available at: https://www.ccacoalition.org/en/news/using-climate-smart-rice-reduce-methane-emissions-agriculture [accessed July 2023].
Umali-Deininger, D. (2022).
World Bank (2023). Sustainable agriculture transformation project. World Bank. Available at: https://projects.worldbank.org/en/projects-operations/project-detail/P145055 [accessed August 2023].
Ngige, L. (2022). Africa agrifoodtech startups raise $1bn in 5 years, but just 1% of global investment. Agfunder Network. Available at: https://agfundernews.com/africa-agrifoodtech-startups-raise-1bn-in-5-years [accessed October 2023].
Trendov, N.M., S. Varas and M. Zeng (2019).
Syngenta (2023). Syngenta Group reports record $33.4 billion sales and $5.6 billion EBITDA in 2022. Syngenta Group. Available at: https://www.syngentagroup.com/en/media/syngenta-news/year/2023/syngenta-group-reports-record-334-billion-sales-and-56-billion-ebitda [accessed July 2023].
MarketsandMarkets (2023). Agricultural robots market industry analysis: Types, advantages, and forecast. MarketsandMarkets. Available at: https://www.marketsandmarkets.com/Market-Reports/agricultural-robot-market-173601759.html [accessed July 2023].
MarketsandMarkets (2023). Agriculture drones market share, industry size and growth forecast – 2030. MarketsandMarkets. Available at: https://www.marketsandmarkets.com/Market-Reports/agriculture-drones-market-23709764.html [accessed July 2023].
Claver, H. (2023). Agricultural drones market to hit revenue of USD 14,237.6 million by 2033. Future Farming. Available at: https://www.futurefarming.com/tech-in-focus/drones/agricultural-drones-market-to-hit-revenue-of-us-14237-6-million-by-2033/ [accessed August 2023].
Ipsos (2019).
Citywire (2023). Deere bets the farm on $150bn ‘precision agriculture’ opportunity. Citywire. Available at: https://citywire.com/pro-buyer/news/deere-bets-the-farm-on-150bn-precision-agriculture-opportunity/a2408316 [accessed August 2023].
Statistics Denmark (2018).
Danmarks Statistik (2022). Stigning i areal med præcisionslandbrug.
Brons Group (2023). Local use of precision farming equipment. [Interview], 16 August 2023. Available at: https://bronsgroup.com/
Ipsos (2019).
Airbus (2023). To insure grasslands against climate risks, Crédit Agricole Bank uses Airbus’ satellite imagery. Airbus Intelligence. Available at: https://www.intelligence-airbusds.com/newsroom/case-studies/agriculture/credit-agricole-uses-satellite-imagery-to-insure-grasslands/#solution [accessed October 2023].
DJI Agriculture (2023). Saving up to 95% water, improving efficiency, while saving chemicals: DJI Agras drones benefit farmers in Turkey during drought. DJI Global. Available at: https://ag.dji.com/case-studies/ag-case-en-t30-tr-drought [accessed October 2023].
See Notes here