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The Gap Between Space and Farm: Ground Truthing Satellite Data Models
Description
The goal of the NASA Acres Consortium is to bridge the gap between space and farms to create sustainable food systems now and in the future. Yu Jiang, Assistant Professor of Systems Engineering and Data Analytics, School of Integrative Plant Science Horticulture Section Cornell AgriTech explains how this group of researchers is using land-based robots to ground truth data from satellites and aerial imaging to create predictive models. The project aims to bring cost effective solutions for disease management, breeding, pruning, and more to farmers of all sizes.
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- 199: NASA Satellites Detect Grapevine Diseases from Space
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- Deep Semantic Segmentation for the Quantification of Grape Foliar Diseases in the Vineyard
- Deep Learning-based Autonomous Downy Mildew Detection and Severity Estimations in Vineyards
- NASA Acres - applying satellite data solutions to the most pressing challenges facing U.S. agriculture
- Yu Jiang
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TranscriptCraig Macmillan 0:00
Our guest today is Yu Jiang. He is an assistant professor of systems engineering and data analytics in the School of integrative plant science horticulture section at Cornell agritech. Thank you for being on the podcast
Yu Jiang 0:12
Thanks Craig for having me for these podc