Agri-Technology Resource Center

Soil sensors provide continuous updates on fertility, compaction, and moisture levels. This helps optimize fertilizer application and irrigation timing.

In India, over 10,000 smallholder farms have adopted soil sensors through the Kisan Suvidha program, reducing input costs and increasing yields by 30%.

These sensors are often solar-powered and connect wirelessly to cloud dashboards, providing farmers with instant alerts about soil dryness or nutrient deficiencies.

Some advanced systems integrate with weather forecasts and irrigation controllers, enabling fully automated watering schedules based on real-time soil and climate data.

In East Africa, similar technology is being piloted to help farmers adapt to unpredictable rainfall and optimize fertilizer use, improving food security and sustainability.

Drip and sprinkler systems controlled by IoT sensors reduce water usage by delivering it only where needed, when needed.

FarmERP and Netafim’s smart valves allow farmers to adjust flow rates from mobile apps — especially useful during dry spells or high-demand seasons.

In Kenya, these systems helped tomato growers maintain production even during prolonged droughts.

Some systems use AI to predict irrigation needs, further reducing water waste and maximizing crop health.

Climate sensors help farmers prepare for extreme weather events such as heatwaves, frost, and storms.

They also integrate with mobile apps like Hello Tractor and Kisan Suvidha to send personalized weather alerts and advisories.

In Bangladesh, this tech has improved flood preparedness and crop insurance claims by providing accurate data logs.

In the Netherlands, climate sensors are used in greenhouses to optimize temperature and humidity, resulting in higher yields and reduced energy costs.

Some African countries use solar-powered weather stations to provide smallholder farmers with SMS weather alerts, helping them plan planting and harvesting more effectively.

IoT collars and ear tags monitor cattle behavior, body temperature, and grazing patterns — helping prevent illness and improve breeding outcomes.

In Brazil, dairy farms now use these trackers to improve milk yield and detect heat cycles for better insemination timing.

In the Netherlands, IoT ear tags are integrated with automated milking systems, allowing real-time monitoring of cow health, milk production, and movement. This data helps farmers quickly identify sick animals and optimize feeding schedules, leading to healthier herds and higher productivity.

Australian cattle ranchers use GPS-enabled collars to track grazing patterns across vast rangelands. The collected data helps prevent overgrazing, supports rotational grazing plans, and reduces labor costs by automating herd location tracking.

In East Africa, smallholder farmers use low-cost IoT tags to monitor goats and sheep. These devices send SMS alerts if an animal strays outside a designated area or shows signs of illness, reducing losses from theft and disease.

Some advanced systems combine biometric sensors with AI algorithms to predict calving dates, monitor rumination, and detect early signs of lameness or mastitis. This proactive approach reduces veterinary costs and improves animal welfare.

Globally, livestock IoT solutions are helping farmers meet traceability requirements for export markets by providing digital records of animal health, movement, and treatments. This increases transparency and consumer confidence in meat and dairy products.

Data is synced to mobile apps, allowing farmers to receive instant alerts if an animal's vital signs change dramatically.

DJI and Parrot drones are used in India, Brazil, and Ethiopia to identify pest-infested zones and apply targeted spraying.

This precision approach lowers input cost, improves environmental sustainability, and boosts productivity by avoiding blanket spraying.

Drones can cover large fields quickly, reaching areas that are difficult or dangerous for manual labor, such as steep slopes or waterlogged plots. This reduces labor requirements and exposure to chemicals for farm workers.

Advanced drones use multispectral cameras and AI to analyze crop health, identify nutrient deficiencies, and detect pest outbreaks before they spread. This allows for targeted interventions and reduces unnecessary chemical use.

In China, rice farmers have adopted drone spraying to manage pests and diseases, resulting in a 20% reduction in pesticide use and improved crop yields. The government supports drone training programs to accelerate adoption among smallholder farmers.

African startups like Aerobotics and Uhurulabs provide drone services to small farms, offering affordable pay-per-use spraying and crop monitoring. This democratizes access to high-tech solutions and supports climate resilience.

Drones can also be used for seeding, reforestation, and spreading beneficial insects, expanding their role beyond spraying. Some models are equipped with real-time data transmission, enabling farmers to monitor operations from their smartphones.

Regulatory frameworks for drone use in agriculture are evolving, with many countries now offering special licenses for agricultural drone pilots. This ensures safe operation and encourages responsible use of the technology.

Overall, drone-assisted spraying is transforming crop management by making it more efficient, data-driven, and environmentally friendly, helping farmers adapt to labor shortages and changing climate conditions.

These platforms offer centralized control for cooperatives and individual farms, combining data from soil sensors, drones, and satellite imaging into one dashboard.

Farmers can log activities, plan harvests, and share insights with buyers — improving transparency and fair trade practices.

These platforms often include modules for inventory management, financial tracking, and compliance documentation, making it easier for farmers to meet export and certification requirements.

IoT integration allows for real-time monitoring of equipment, weather, and crop conditions, which can trigger automated alerts or recommendations for actions such as irrigation, fertilization, or pest control.

Some systems offer mobile apps with offline capabilities, enabling field workers to record data even in remote areas without internet connectivity. Data syncs automatically when a connection is available.

Farm management platforms support collaboration among cooperatives by allowing multiple users to access shared dashboards, assign tasks, and track progress on group projects.

Advanced analytics and AI features help predict yields, optimize resource allocation, and identify trends in crop performance over time. This data-driven approach leads to better decision-making and increased profitability.

Integration with market platforms and e-commerce tools enables farmers to connect directly with buyers, negotiate prices, and manage logistics, reducing reliance on intermediaries and improving income.

In India, FarmERP has been adopted by large cooperatives and agribusinesses to manage thousands of hectares, track sustainability metrics, and ensure traceability from farm to fork.

In Africa, platforms like AgUnity provide blockchain-based recordkeeping, ensuring that smallholder farmers have secure, tamper-proof records of their activities and transactions.

Many platforms offer integration with government and NGO programs, streamlining access to subsidies, training, and technical support for digital agriculture adoption.