2019-019, 2020-095, 2021-018 Peanut Maturity Grading System

This invention is a system for automatically evaluating peanut maturity and providing detailed information on the best harvest time and expected profit. Imaging software evaluates a peanut crop’s maturity and predicts a digging date faster and more e…
  • This invention is a system for automatically evaluating peanut maturity and providing detailed information on the best harvest time and expected profit.
  • Imaging software evaluates a peanut crop’s maturity and predicts a digging date faster and more efficiently than traditional human estimation.
  • This system can be implemented on individual farms through a hand-held device or at centralized offices, aided by an automatic feeder and organization machine.

Abstract

Determining optimal harvest dates is critical to the yield and quality of peanut crops. Traditionally, trained county officials compare a pod’s mesocarp color to a peanut profile board and predict an optimal harvest date. However, this invention standardizes and streamlines that process. Removing human error, this imaging system calibrates for various lighting conditions to evaluate peanut maturity. It provides data on harvest time, expected yield, and expected profit. This data, along with additional information such as location and weather, can be used in aggregate to improve predictions over time. A sorting and organization machine can handle large amounts of peanuts at once, speeding up the county office process. Alternatively, a hand-held device can be used, empowering farmers to evaluate their own crops.

Website

https://uga.flintbox.com/technologies/3FDF4147B9414B06931F33F8BA20377D

Advantages

Faster, more efficient, and standardized process for grading peanut maturity and predicting harvest date
Can evaluate large groups of peanuts with the aid of the sorting machine, or can be used on-site by farmers with a hand-held device

Potential Applications

This invention is a peanut maturity grading system that uses imaging hardware and software to report optimal harvest times and expected profits at both large and small scales.