Leaf Doctor and Estimate, two new free apps, work with photo analysis of damaged leaves to determine plant disease severity and help growers and researchers to decide if and how to treat the plant. While Leaf Doctor analyzes photos users take, Estimate connects users to a database of diseased leaves to help determine damage. Researcher: Sarah Pethybridge
Using Proximal NDVI Sensors to Increase N Use Efficiency
Mar 16, 2017
Algorithms convert NDVI measurements of hand-held or tractor mounted sensors into on-the-go N rate recommendations while in the field. This project evaluates which algorithms are most appropriate to use for corn grown for silage or grain in New York State. Researcher: Quirine Ketterings. More information
Ag-Analytics Tools for Financial and Environmental Health
Mar 15, 2017
Online tools for farmers, researchers and policy makers: this platform offers tools to help farmers understand their crop insurance options to better manage risks. The team also host an open source/open data system that integrates economic and environmental data, and translate complex research into user-friendly web tools for researchers, farmers and policy makers. Researcher: Joshua Woodard. More information
Using Drone Imagery to Guide Selective Harvest in Vineyards
Mar 14, 2017
The practice of selective harvesting for different grades of fruit quality in wine grape vineyards is common among large producers. This project helps Finger Lakes wine grape growers to learn how to use drones to collect NDVI images of their vineyards, and use them to guide harvest plans and maximize the economic potential of their fruit. Researcher: Justine Vanden Heuvel.
Improving Dairy Cow Health and Reducing Labor Cost
Mar 13, 2017
This project aims to better understand the behavioral, physiological, and productivity parameters during health and disease in dairy cows. The team’s experiments on dairy farms are designed to understand if automated health monitoring can promptly and accurately identify cows suffering from health disorders. Researcher: Julio Giordano.
Improving Apple Grower Profitability Through Precision Management Smart App
Mar 12, 2017
The aim of this project is to develop an innovative, fast and easy-to-use tool for growers, making the precision management practices of apple orchards easier to accomplish. A new app will provide data analysis and real-time guidance, and help boost grower productivity in an environmentally friendly way. Researchers: Jaume Lordan Sanahuja and Poliana Francescatto.