![]() Monitor water quality on a large scale (Mississippi State University, North Carolina State University, Virginia Tech).Detect stray livestock herds, create 3D renderings of animals to calculate market value and assess forage quality (University of Kentucky, Mississippi State University).Enable faster plant screening and new types of measurements and biological discoveries (Montana State University, Texas A&M, Virginia Tech, Washington State University).Monitor plant water stress to help farmers target irrigation resources where most needed (Clemson University). ![]() These industries face major pest issues that are intensified by limited labor availability and increasing consumer demand for produce with fewer chemical inputs (Clemson University, University of Georgia, Purdue University, Washington State University). Scout pests and diseases in fruit, nut and row crops and apply targeted treatment.This project has expanded drone use opportunities by creating new drone systems that: To maximize the accuracy of the data collected, project members developed hardware, software and detailed protocols for calibrating and using drones as well as new tools to help drone users manage the data they collect, including a digital logbook. Sharing information, equipment and other resources helps overcome the limited capacity of a single institution.Īs part of this ongoing project, scientists have evaluated and identified the most reliable, cost-effective and user-friendly drone platforms and sensors for monitoring and managing stressors in agriculture and natural resources. Coordination spreads the workload, reduces duplication, and lowers some costs. In contrast, most prior research focused on drone use in a single field or a specific crop or stressor. With diverse expertise and members in multiple states, this team can test drones in a wide variety of real-world agriculture situations. Since 2016, Land-grant University researchers and educators in 20 states have worked to increase the adoption of drones for remote sensing and precise management of agriculture and natural resources through a multistate project.
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