Global Agri-Tech Automation & Optimization Projects

A free, open-source web application for farm management, planning, and record keeping, built on Drupal. Developed by a community of farmers and developers, it allows tracking of locations, crops, livestock, inputs, and activities on farms.

An open-source farm management information system (FMIS) written in Ruby on Rails. Ekylibre offers a modular platform to handle farm production, accounting, and mapping, connecting farms to the world through data integration. Available as open-source (AGPL v3) with a commercial SaaS option.

A free, open-source farming journal and management tool for small farmers. Built with Go and Vue.js, Tania lets users manage farm areas, water reservoirs, tasks, inventories, and crop growth stages with a self-hosted community edition (Apache 2.0).

A community-led, open-source farm management platform tailored for sustainable and organic farming. Web-based and mobile-friendly, helping farmers organize fields, plan activities, track inputs/certifications, and record observations. Used in Canada, the US, and Latin America.

An open-source GPS guidance and auto-steering system for tractors. Provides precision mapping, section control for spraying, and GPS-based autosteer capabilities from basic lightbar guidance up to RTK-level accuracy using affordable GNSS receivers.

An open-source smart irrigation controller that automates watering for gardens, lawns, and farms. Create custom irrigation programs with weather-based adjustments and control valves remotely via web or mobile. Raspberry-Pi compatible, low-cost device.

A toolkit of AI and geospatial models for precision farming by Microsoft Research. Analyzes multi-modal data (drones, satellites, soil sensors) to predict optimal fertilizer application, forecast micro-climate conditions, and recommend planting decisions.

A precision farming platform using satellite imagery and machine learning to monitor crop health globally. Provides a free interactive map with field boundaries and crop types detected via Copernicus Sentinel data, tracking NDVI vegetation indices.

A mobile AI assistant for crop disease diagnosis that runs offline on a standard smartphone. Combines computer vision for expert-level disease detection, anomaly alerts from satellite data, and a chatbot interface. Deployed in Kenya, Tanzania, and India.

An open-source CNC farming machine for small-scale gardening. A Cartesian robotic platform that plants seeds, waters plants, and destroys weeds automatically on a garden bed. Controlled via web app with a shared open crop database.

An autonomous strawberry-harvesting robot featuring 24 robotic arms guided by AI and machine vision. Identifies ripe strawberries using color cameras and depth sensors, with LiDAR navigation through strawberry fields.

An advanced strawberry-harvesting robot developed in Florida. The Computerized Robotic Optimized Obtainer uses multiple coordinated mechanisms to pull back leaves, pluck ripe strawberries, and pack them. Harvests in about 8 seconds per plant.

A prototype fruit-harvesting robot for orchards with multiple arms and computer vision. AI recognizes ripe fruit and gently detaches them from trees (apples, oranges). Research project targeting commercial harvest efficiency.

A fully electric smart tractor with autonomous capabilities. The Monarch MK-V can operate with or without a driver using GPS and vision for guidance. Performs field tasks on battery power while collecting data for precision agriculture.

A suite of field robots for weeding and farm tasks including Oz (small vegetable weeder), Dino (row-crop weeder), and Ted (vineyard robot). Electric robots use GPS-RTK and computer vision to autonomously hoe weeds, reducing herbicide use.

An AI-driven precision sprayer using cameras and machine learning to detect weeds in row crops and apply herbicide only where needed. Reduces herbicide use by up to 67% compared to broadcast spraying in cotton, corn, and soy.

An autonomous weed-control robot that uses lasers to kill weeds. Drives through crop fields using AI and computer vision to identify weeds vs crops, then fires high-power lasers to eliminate weeds without chemicals. Zaps thousands per hour.

A robotic cattle-driving system deployed in agribusiness processing. Remote-controlled robots herd cattle by waving robotic arms, blowing air, and playing recorded audio cues, reducing stress on animals and improving worker safety.

A line of multirotor agricultural drones for crop spraying and seeding. Carry liquid pesticide or fertilizer tanks (10L-100L) and spray crops autonomously. Follow pre-planned routes with automatic refill station return. Improved productivity especially in rice paddies.

A fully autonomous drone-in-a-box system for aerial crop monitoring. Lives in a weatherproof charging station and automatically launches on scheduled missions. Uses edge computing and AI to detect crop stress, pests, and growth stages. FAA-approved beyond-line-of-sight.

Heavy-lift agricultural drones for automated seeding and spraying. UAV Systems International (USA) and XAG P100 (China) offer 15-20 minute flights with 15L payloads for broadcasting seeds and spot-treatment. Popular in India and China for labor-scarce regions.

An open-source online marketplace platform for local food supply chains. Enables farmers, producers, and food hubs to sell products online with customizable storefronts. Used in 15+ countries by thousands of co-ops and farmers, supporting fair pricing and transparency.

A tractor-sharing platform dubbed "Uber for Tractors." Connects smallholder farmers needing tractor services with owners via mobile app and IoT devices. Farmers book plowing or harvesting on-demand through agents. Operating across Africa and South Asia.

A blockchain-based food supply chain network improving traceability from farm to fork. Records each supply chain event in a tamper-proof ledger, enabling rapid trace-back of contaminated products (seconds vs weeks) and reducing waste through optimized inventory.