System and method for prescribing fertilizer application rates for spatial distribution of a product

Abstract

A precision agriculture prescription system which provides precision agriculture prescriptions, by estimating fertilizer application rates and providing a prescription for spatial distribution of the selected product over a given field(s) with a goal of achieving an efficient use of budgeted fertilizer product(s). The system utilizes historical and forecast weather data, as well as remote sensing satellite imagery to maximize the grower's budgeted fertilizer products over his/her fields. This is done by assessing the normalized difference vegetation index (NDVI) from 1-to-many satellite images of the given field(s). The system also leverages regional historical weather data to correlate prior seasons' growth patterns and climate effects, and regional weather forecast data to incorporate predictive climate impacts. A soil mineralization model is applied by the system to prescribe an efficient spatial distribution down to the image pixel level for the selected product(s) over the grower's field(s), to provide an economic advantage for the grower.