Overview of Technology
Software using small unmanned aerial systems sensors to predict crop sidedress prescriptions in early bloom cotton and V4-V8 corn.
Description of Technology
Researchers at Mississippi State University have developed and patented a technology that is used to estimate early crop nitrogen and other nutrient status from aerial multi- and hyper-spectral imaging and/or sprectroradiometric radiance sensors.
This product is an automated software algorithm for predicting early crop nitrogen status. This product returns a variable rate nitrogen side-dress application recommendation. The data returns are then uploaded into georeferenced fertilizer applicators and applied to an early crop in need of supplemental fertilizer. The algorithm is transferrable to aerial imaging and spectroradiometric systems in that it leverages radiance data returns to predict crop status. This final product proposed is a software extension for various precision agricultural software programs used to manage fertilizer applications.
Applications
This technology uses Small Unmanned Aerial Systems (sUAS) sensors to predict crop sideress prescriptions in early bloom cotton and V4-V8 corn.
Opportunity
Mississippi State University seeks researchers, farmers, and farm service providers that desire an algorithm that will aim to reduce fertilizer inputs and improve yield outcomes by spatially redistributing nutrients to most-needed production areas.