AI in agriculture leverages technologies like machine learning, computer vision, and data analytics to optimize farming practices, crop management, and resource utilization. It enables tasks such as automated monitoring, disease detection, yield prediction, and precision farming, leading to increased efficiency, improved productivity, and sustainable agriculture practices.
West Virginia University researchers have secured a $175,000 grant from the Richard King Mellon Foundation to combat the threat of multiflora rose, an invasive species affecting native plants in over 40 states. Leveraging drones equipped with sensors and machine learning technology, the project aims to develop software for detecting and treating multiflora rose and other invasives, potentially reducing herbicide usage and costs while promoting native species.
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