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Agriculture

Utilize our Drones and Ground vehicles to apply precision agriculture methods, monitoring soil moisture and weather conditions to adjust irrigation schedules for optimal water usage, preventing both over and under-watering and addressing labor shortages that delay crop planting, weed removal, and timely harvesting, thereby boosting productivity.

Agricultural multirotor drone hovering low over a green paddy field

Agriculture

By incorporating the Autonomous Vision Navigator into farming operations, farmers are able to boost productivity, minimize environmental impact, and adopt more sustainable farming practices, ultimately supporting global food security.

Model Demo on Hugging Face

Use Cases

Precision Crop Monitoring

AI detection of rice brown-spot disease on crop leaves with labelled bounding boxes

Our Unmanned Autonomous UAV and UGV equipped with edge AI analyzed crop health in real-time, detecting pests, diseases, and nutrient deficiencies directly in the field. Benefit: Reduced crop damage, improved yields, and minimized reliance on internet connectivity or remote servers.

Soil and Irrigation Management

Quadcopter drone with camera flying low between young crop rows

Our Unmanned Autonomous UAV and UGV, integrated with edge AI, successfully analyzed soil conditions and monitored moisture levels to deliver timely and accurate irrigation recommendations.

Benefit:

This initiative enhanced water efficiency, promoted sustainable farming practices, and preserved valuable water resources.

Automated Crop Spraying

Crop-spraying drone applying treatment over a young corn field

Our Unmanned Autonomous UAV and UGV, powered by edge AI, effectively identified specific areas requiring pesticide or fertilizer application and executed precise, targeted spraying. Benefit:

This approach significantly reduced chemical usage, lowered labor expenses, and safeguarded workers from exposure to hazardous substances.

Post-Harvest Management and Crop Sorting

AI detection of rice blast disease on infected leaves, marked with bounding boxes and confidence scores

Our Edge AI models successfully evaluated and sorted harvested crops by analyzing quality metrics, including color, size, and defects.

This implementation reduced reliance on manual labor, maintained consistent quality standards, and accelerated the processing timeline.

Livestock Monitoring and Management

AI detection of bacterial leaf streak in a rice crop, marked with bounding boxes

Our Unmanned Autonomous UAV and UGV, integrated with edge AI, successfully monitored livestock by identifying behavioral changes indicative of distress or illness.

This initiative facilitated early identification of health concerns, minimized disease outbreaks, and enhanced overall livestock management practices.

Disaster and Risk Management

Concept scene of disaster response: drones and a ground rover surveying a flooded, storm-damaged field

Our Unmanned Autonomous UAV and UGV, equipped with edge AI, provided timely and accurate assessments of crop damage caused by natural disasters.

This effort enabled swift decision-making and efficient resource allocation, ensuring the protection of farmers’ livelihoods during critical situations.

Market Linkage and Crop Insurance Validation

AI crop-vision detection labelling healthy rice plants with a confidence score

Our AgriTech AI Agents successfully gathered reliable data on crop quality and yields, facilitating market negotiations and supporting insurance claim validations.

This approach ensured equitable pricing, minimized economic risks, and improved farmers' access to insurance coverage.

Support for Organic Farming

Agricultural spraying drone flying over rows of leafy crops

Our unmanned autonomous UAV and UGV, integrated with edge AI, successfully monitored fields for compliance with organic farming standards, detecting any unauthorized chemical use. Benefit:

This innovation successfully enabled farmers to maintain their organic certifications and access premium markets.

Interested?

Let's put this to work.

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