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Hello there! In this episode of The Crop Science Podcast Show, Dr. Zhou Zhang, an associate professor at UW-Madison, shares her expertise in satellite remote sensing and drone-based image platforms for precision agriculture. Dr. Zhang discusses her innovative research on yield prediction models, the integration of AI in agriculture, and the applications of remote sensing data for farmers, insurance companies, and government agencies. Tune in to discover how these technologies could make a difference in day-to-day operations. "Remote sensing technology can significantly enhance agricultural productivity by providing yield predictions much earlier in the season." Meet the guest: Dr. Zhou Zhang / zhou-zhang-996b9865 is an Associate Professor at UW-Madison specializing in precision agriculture. She holds a Ph.D. in Civil Engineering and Computational Science from Purdue University. Her research focuses on multi-source remote sensing, machine learning, and AI applications in precision agriculture. With a rich background as a postdoctoral researcher at UC Davis and several notable publications, Dr. Zhang's expertise lies in harnessing advanced technologies to enhance agricultural productivity. What you will learn: (00:00) Highlight (00:25) Introduction (04:50) Remote sensing in agriculture (06:43) Yield estimation data (10:53) Large-scale data usage (14:03) AI’s role in agriculture (19:16) New technologies Challenges (25:36) Final three questions The Crop Science Podcast Show is trusted and supported by the innovative companies: CNH Reman (http://buywearparts.com/) KWS (https://www.kws.com/us) 𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. Instagram: / cropsciencepodcast LinkedIn: / the-crop-science-podcast-show