Agriculture AI Companies

John Deere AI

Moline, United States

John Deere AI develops intelligent solutions for agricultural and construction equipment, most notably its autonomous 8R and 9R tractor platforms and the See & Spray™ Ultimate technology. Utilizing computer vision and machine learning, See & Spray™ selectively identifies and targets weeds in-season, reducing herbicide use by up to 80%. These innovations are targeted towards large-scale agricultural operations seeking to improve efficiency, reduce input costs, and promote sustainable farming practices, and have earned John Deere recognition for its advancements in precision agriculture technology.

Indigo Agriculture

Boston, United States

Indigo Agriculture is an agricultural technology company focused on improving farm profitability and sustainability through a combination of biological seed treatments and data-driven regenerative agriculture programs. Their core technology utilizes naturally occurring microbes to enhance crop resilience and yield, coupled with a digital platform to measure and verify soil carbon sequestration for carbon credit generation. Indigo targets both farmers seeking increased productivity and corporations aiming to reduce Scope 3 emissions and meet sustainability goals through traceable, agriculture-based carbon offsets.

Ynsect

Paris, France

Ynsect is a French AgTech company specializing in the automated production of insect-based ingredients. Utilizing AI-powered robotics and computer vision within vertical farms, they cultivate mealworms to create sustainable protein and fertilizer products. Targeting the animal feed, human food, and plant nutrition markets, Ynsect offers a scalable solution to address growing demand for environmentally responsible food system alternatives.

Inari

Cambridge, United States

Inari develops the SEEDesign™ platform, a proprietary technology combining gene editing with advanced data science and predictive modeling to accelerate crop breeding. Their core innovation lies in leveraging AI to predict optimal gene edits for traits like yield, disease resistance, and resource efficiency, significantly reducing the time and cost associated with traditional breeding methods. Currently focused on crops like corn and soybeans, Inari aims to deliver climate-resilient seeds to growers, enhancing both productivity and sustainability within the agricultural sector.

Halter

Auckland, New Zealand

Halter develops precision livestock management technology for dairy farms, utilizing solar-powered, GPS-enabled collars to create virtual fences and monitor animal behavior. Their system transmits data via a localized network, eliminating the need for cellular coverage, and provides farmers with real-time insights into grazing patterns, animal health, and heat detection via a mobile application. This allows for optimized pasture management, improved animal welfare, and increased farm productivity without the infrastructure costs of traditional fencing.

Taranis

Tel Aviv, Israel

Taranis is an Israeli agtech company providing AI-powered crop intelligence solutions to agricultural advisors and growers. Their core technology utilizes high-resolution aerial imagery and machine learning to detect early signs of pests, diseases, nutrient deficiencies, and weeds at a leaf-level granularity. This enables proactive, data-driven decision-making and optimized resource allocation for improved yield and profitability, specifically serving the needs of trusted agricultural advisors seeking to demonstrate value to their clients.

Apollo Agriculture

Nairobi, Kenya

Apollo Agriculture provides financial services and data-driven agricultural advice to smallholder farmers in Kenya. Their core offering leverages machine learning for credit scoring and provides personalized recommendations on input financing, planting, and harvesting techniques. By de-risking lending and optimizing farm management practices, Apollo enables increased yields and profitability for a traditionally underserved market.

Climate AI

San Francisco, United States

ClimateAI delivers enterprise-level climate risk forecasting specifically for the food and agriculture sector. Their core product, the ClimateLens platform, utilizes patented machine learning models and 1km spatial resolution to generate hyperlocal, actionable insights from diverse climate and weather data. This enables businesses across the agricultural supply chain to proactively mitigate risk, optimize operations, and inform strategic investment decisions without requiring in-house data science expertise.

Prospera (Valmont)

Tel Aviv, Israel

Prospera, a Valmont company, delivers AI-based crop monitoring solutions to commercial growers. Utilizing high-resolution imagery and deep learning algorithms, their platform identifies plant-level anomalies and provides actionable insights regarding irrigation, nutrition, and pest/disease management. This technology enables large-scale agricultural operations to optimize yield, improve resource utilization, and reduce operational costs through data-driven decision-making.

Aerobotics

Cape Town, South Africa

Aerobotics is an AgTech company specializing in yield forecasting for fruit producers. Their platform utilizes computer vision and image analysis of smartphone photos to provide accurate measurements of fruit size, color, and quality throughout the growing season. This technology enables growers, packers, and marketers to improve operational planning and optimize resource allocation through data-driven yield predictions.

Pula

Nairobi, Kenya

Pula provides agricultural insurance and data solutions to mitigate climate risk for smallholder farmers and agribusinesses across Africa and Asia. Their core technology combines index-based and indemnity-based insurance models with geospatial data analytics to deliver scalable, data-driven coverage and insights. Pula uniquely serves both farmers and the organizations that rely on them – including governments and exporters needing to meet traceability requirements like the EUDR – fostering resilience and sustainable agricultural practices.

Farmerline

Accra, Ghana

Farmerline helps smallholder farmers in Africa through its Mergdata AI platform for supply-chain intelligence—crop-yield and fertilizer-demand prediction, traceability and credit scoring—plus market information and financing. Founded in 2013 in Ghana by Alloysius Attah; works with 200,000+ farmers.

Augmenta

Metamorphosi, Greece

Augmenta builds AI-powered precision-agriculture hardware—field analyzers using computer vision to enable real-time variable-rate application of fertilizer and chemicals on tractors and sprayers. Based in Metamorphosi, Greece; acquired by CNH Industrial in 2023 and folded into its Raven brand.

Amini

Nairobi, Kenya

Amini is a Nairobi-based climate-tech startup that uses AI and satellite imagery to close Africa's environmental-data gap. Its platform aggregates satellite, weather and sensor data down to the square meter and exposes it via APIs for agriculture, climate monitoring and resource management. It raised a $4M seed round led by Salesforce Ventures and Female Founders Fund.

Demetria

Bogota, Colombia

Demetria is a Colombian agtech company that uses AI to assess the taste and quality of coffee. It pairs portable near-infrared sensors with an AI data-intelligence platform, an 'e-Palate', that fingerprints green coffee beans against the industry flavor wheel for the specialty-coffee supply chain.

Calice

Buenos Aires, Argentina

Calice is an Argentine agtech startup whose NODES platform runs AI-powered 'computational field trials,' simulating crop performance to reduce physical agricultural testing by up to 80%. It serves agri-food companies developing new seed and crop products. It raised a $2.5M seed round backed by Astanor and GrainCorp Ventures.

Kissan AI

Ahmedabad, India

Kissan AI builds AI assistants for Indian agriculture, including Dhenu, an agriculture-domain large language model trained on bilingual English-Hindi instruction data to answer farmer queries on irrigation, pest control and cultivation. Its conversational tools support English, Hindi and Hinglish. It raised seed funding backed by Blume Ventures.

Farmers Edge

Winnipeg, Canada

Farmers Edge, now operating under Corvian, delivers enterprise-level digital transformation solutions for the agriculture, food, and finance industries. Their core offering is a precision agriculture platform leveraging satellite imagery, IoT data, and patented technologies to optimize crop performance and supply chain efficiency. Corvian differentiates itself through a managed services framework combining agronomic expertise with robust technology infrastructure, enabling scalable deployments for large organizations.

Raven Industries

Sioux Falls, United States

Raven Industries, a CNH brand, develops and integrates precision agriculture technology for autonomous farming applications. Their core offering centers on automated guidance and data analytics systems that optimize resource use and improve yield for agricultural operations. Targeting large-scale farming businesses, Raven provides solutions designed to address labor shortages and enhance operational efficiency through connected workflows and real-time fleet management.

OCP Group

Casablanca, Morocco

OCP Group leverages artificial intelligence and machine learning to enhance efficiency across its phosphate mining operations and fertilizer production. Their core technology centers on predictive analytics applied to geological data, equipment maintenance, and agricultural yield optimization. Targeting both internal operational improvements and data-driven solutions for farmers, OCP Group aims to secure phosphate supply chains and improve agricultural productivity in Africa and beyond.

Biome Makers

Valencia, Spain

Biome Makers combines DNA sequencing with AI (its BeCrop platform, billed as '23andMe for soil') to analyze soil microbiomes and help farmers optimize yields and reduce chemical inputs. Founded in 2015 by Alberto Acedo and Adrián Ferrero; raised ~$23M, with labs in Spain and California.

Blue River Technology

Sunnyvale, United States

Blue River Technology, a John Deere company, develops advanced agricultural robotics and machine learning solutions, most notably the See & Spray™ Ultimate system. This technology utilizes computer vision and deep learning algorithms to identify and precisely target weeds with herbicide application, reducing chemical usage by up to 80%. Deployed on John Deere sprayers, See & Spray™ is currently available for cotton and corn production in North America, demonstrating Blue River’s commitment to sustainable and efficient farming practices.

Inspectral

Copenhagen, Denmark

Inspectral provides a non-intrusive chemometric and nutritional-analysis platform that applies machine learning to spectral data to improve food quality and safety management. Its technology lets food producers assess composition and detect defects without destructive sampling.

SciCrop

Sao Paulo, Brazil

SciCrop is a Brazilian agribusiness analytics company that applies machine learning and proprietary algorithms to satellite imagery and agro-meteorological data to predict crop yields, food inflation and pest risk. Founded in 2015 in Sao Paulo by Jose Damico and Renato Ferraz, its products integrate corporate and field data for data-driven agriculture.

Crop2x

Islamabad, Pakistan

Crop2x is a Pakistani agritech company whose AI engine fuses satellite imagery, soil-sensor data and weather forecasts to deliver crop classification, yield prediction and threat detection for farmers and agribusinesses. Founded in 2021 by Muhammad Khurram, it has partnered with Telenor Pakistan to distribute its precision-agriculture services.

metaBIX Biotech

Montevideo, Uruguay

metaBIX Biotech is a Uruguayan startup that combines artificial intelligence, biotechnology and hardware to monitor airborne pathogens and predict disease outbreaks in pig and poultry farms, targeting diseases such as avian flu and salmonella. Founded in 2022 in Montevideo and led by co-founder and CEO Laura Maccio, it operates across Uruguay, Brazil and Ecuador.

Agremo

Belgrade, Serbia

Agremo is a Serbian agtech company that applies computer vision and machine learning to aerial imagery from drones and remote-sensing platforms. Its cloud software counts plants and detects diseases, weeds, pests and water stress to help growers improve yields and lower costs.

ZoomAgri

Buenos Aires, Argentina

ZoomAgri is an Argentine agtech company that digitizes testing and inspection of agricultural commodities using AI and computer vision. Its vision-as-a-service system pairs a hardware scanner with deep-learning models to assess the physical quality and identity of grains and oilseeds in real time.

Netagrow

Lusaka, Zambia

Netagrow is a Zambian agritech company that combines software, hardware and AI to support smallholder farmers across the full farming cycle. Its platform uses AI-powered insights and IoT devices for real-time crop monitoring and decision support, and it reports thousands of active farmers and partnerships with bodies including the World Food Programme.

Qareeb

Algiers, Algeria

Qareeb is an Algerian company specializing in edge AI, IoT and on-device intelligence that runs locally without transferring data to remote servers. Its flagship Q-Farming system uses long-range LoRa connectivity to deliver smart-agriculture insights for irrigation and yield, while Q-Vision and Q-Access provide surveillance and biometric access control. It won first place for technological innovation at the 2025 African Union Youth Start-Up Awards.

PCS Agri

Agadir, Morocco

PCS Agri is a Moroccan agritech company that builds AI-powered farm-management tools combining computer vision and IoT. Its products include TRACK TOM for cherry-tomato yield estimation, AI-based connected traps for pest monitoring, and tools for seed-germination tracking and water optimization. Its mobile app can count fruits and predict harvests weeks in advance.

Agrix Tech

Yaounde, Cameroon

Agrix Tech is a Cameroonian agritech company that uses artificial intelligence to help small-scale farmers detect and treat plant diseases and crop pests. Farmers scan an affected plant with a mobile app and receive diagnoses and treatment guidance, with text and voice support in local African languages. The company reports high diagnostic accuracy and serves farmers across Cameroon, Nigeria and Ghana.

TOLBI

Dakar, Senegal

TOLBI is a Senegalese climate-focused agritech company that uses artificial intelligence and satellite remote sensing to help farmers plan and manage crops. Its modules include TOLBI Scan for crop-surface calculation and crop detection, and TOLBI Call for real-time agronomic and climate guidance in local languages. The platform delivers per-field recommendations on water, fertilizer and optimal planting and harvest timing.

iPAGE

Dhaka, Bangladesh

iPAGE is a Bangladeshi agritech company that uses deep learning, machine learning and IoT to deliver an AI-powered farm-advisory and trading engine for smallholder farmers. Its Aunkur (Ankur) service collects soil and agrometeorological data to generate precision-farming guidance and connect farmers to markets. It was founded by Mashrur H. Shurid and Mohammad Saifullah Mithu.

Nereuz

Arequipa, Peru

Nereuz is a Peruvian startup applying AI, IoT and underwater robotics to monitor and evaluate hydrobiological resources for the fishing and aquaculture sectors. It combines aquatic cameras, sensor-equipped underwater robots and its Sampling.ai platform to collect and analyze underwater data. The women-led company was founded by Rosa Maria Ventura Vasquez and Wilder Nina Choquehuayta.

OneSoil

Minsk, Belarus

OneSoil is a Belarusian precision-agriculture company that uses computer vision and machine learning on satellite imagery to detect field boundaries, classify crops and guide fertilization and crop monitoring. Its free AI-powered platform analyzes tens of millions of fields across dozens of countries. The company was founded by Usevalad Genin, Slava Mazai and Sasha Yakovlev and has raised about USD 5 million.

AgriPredict

Lusaka, Zambia

AgriPredict is a Zambian agritech company that uses artificial intelligence and machine learning to help farmers diagnose crop and livestock disease, predict pest outbreaks and anticipate weather risks. Farmers photograph an affected crop and receive an instant AI diagnosis through the app. It was founded in 2016 in Lusaka.

Agripoa

Dar es Salaam, Tanzania

Agripoa is a Tanzanian agritech startup whose app helps African poultry farmers plan, monitor and analyze their operations and uses AI to identify and treat poultry disease without an in-person expert visit. Founded in 2019 in Dar es Salaam, it has been supported by Villgro Africa's responsible-AI funding.

Agrofelis

Athens, Greece

Agrofelis is a Greek agricultural-robotics startup based in Kaisariani, Athens, developing a multi-purpose autonomous farm robot that bridges the gap between handheld tools and tractors. It combines AI, computer vision and precision-agriculture capabilities for programmable field tasks at various scales. The company is listed on Greece's national startup registry, Elevate Greece.