But for nitrogen, there is significant spatial variability and value to managing it, especially in Eastern Washington, ...

The customer plans to use this equipment primarily to test for seaweed and red ... Today, AgEagle is a leading provider of full stack UAS, sensors and software solutions for customers worldwide in the ...

Examples of AI being used in advanced crop monitoring include vineyard water management, fertility in potato production, ...

As 2025 approaches, what technologies, from robotics to AI, are agrifoodtech startups keeping watching? Elaine Watson fired ...

Burro's robots, made for autonomous material transport across agricultural environments like nurseries, fields, and farms, use advanced AI, computer vision ... GEODNET's global network of RTK stations ...

The features and use cases for Amazon SageMaker, as well as how to utilize its advanced machine learning tools for building, training, and deploying AI models.

UC San Diego has developed a system that uses analog sensors with a direct interface to RFID tags, making them passive sensor ...

Smart farming use cases, particularly battery-powered and in remote locations, require low-power devices and secure wireless ...

Three eBee VISION units add to DALO’s existing fleet of operational eBee X drones WICHITA, Kan., Dec. 17, 2024 (GLOBE NEWSWIRE) -- AgEagle ...

Scientists have been working on special sensors that can detect different chemicals in the past ten years. One challenge has ...

REGIONAL—Signs of the A.I. revolution in farming are beginning to crop up all over.