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.

Biome Makers

Valencia, Spain

Biome Makers uses AI and DNA sequencing to analyze soil microbiomes, helping farmers optimize crop yields and reduce chemical inputs.

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 uses AI to provide smallholder farmers in Africa with market information, financial services, and agricultural advice.

Augmenta

Athens, Greece

Augmenta develops AI-powered precision agriculture solutions that use computer vision to optimize fertilizer and chemical application.

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.

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.