Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** farming is a long journey that…

Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** farming is a long journey that starts with preparing the land and ends with harvesting crops. There are many steps along the way - planting seeds, fighting off pests and disease, watering, and ensuring plants get the right nutrients. Every farm is distinct, shaped by the decisions of farmers and the inherent factors like soil quality and climate. However, farming today is facing tighter budgets, limited resources, and changing weather patterns. This means farmers need to manage their land even more carefully. They need tools that can help them predict how much crop they'LL get based on their farming choices. Right now, that kind of tool is missing. Our study aims to fill that GAP. We'RE building a tool called deepyield, using the latest artificial intelligence (AI) and deep learning (DL) techniques. IT's designed to predict sugar beet yields, from small experiments to big farms. The tool will gather different formats of data from different sources, make sense of IT all, and provide farmers with clear insights about what factors most influence their yields. Plus, IT'LL be tailored to each farm's unique conditions, rather than offering a one-size-fits-all solution. We'RE also partnering with western sugar cooperative, a major player in the sugar beet industry across four states (NE, CO, WY, MT). Together, we'LL test deepyield on over 1,000 real-world sugar beet fields. And to make sure the tool reaches farmers, we'RE creating a user-friendly website on phrec-irrigation.COM. By understanding sugar beet farming better and using resources wisely, we believe this project will help farmers improve their methods. While we'RE focusing on sugar beets now, we think this approach could work for other crops like corn, soybean, and cotton too.