Sign up for our daily Newsletter and stay up to date with all the latest news!

Subscribe I am already a subscriber

You are using software which is blocking our advertisements (adblocker).

As we provide the news for free, we are relying on revenues from our banners. So please disable your adblocker and reload the page to continue using this site.
Thanks!

Click here for a guide on disabling your adblocker.

Sign up for our daily Newsletter and stay up to date with all the latest news!

Subscribe I am already a subscriber

New way to detect immature citrus cuts costs

University of Florida Institute of Food and Agricultural Sciences researchers have found a new way to detect immature citrus 83 percent of the time, which lets growers know where to apply fertilizer and water and perhaps save on labor costs for the $10.9 billion a year Florida industry.

By detecting green, immature citrus more accurately and efficiently, growers can plan when and where to apply nutrients when fruit is growing and estimate their yield and profit before harvest, said Daniel Lee, a UF/IFAS professor of agricultural and biological engineering. 



Using a consumer-grade digital camera, Lee and his colleagues calculated color differences between the fruit and non-fruit objects, and identified fruit using a pre-determined fruit template. They also removed any incorrectly detected fruit via a shape analysis, Lee said. In a newly published study, scientists took 126 images of fruit on trees and detected 83 percent immature citrus, using a camera and the new algorithm. This method is different than the previous ones, which can detect fruit from the images taken farther away from the trees. 

The finding means growers can count and find the immature citrus faster, Lee said, which could help growers, who rely heavily on manual labor to pick the citrus, save money, the study says.

Lee cautions that more research is needed on this method of finding immature citrus. For example, he and his colleagues would like to find a way to get real-time yield in the groves. The study is published in the journal Computers and Electronics in Agriculture, http://www.sciencedirect.com/science/article/pii/S0168169916301272.

Contact:
Brad Buck
Tel: 352-294-3303

Won Suk “Daniel” Lee
Tel: 352-392-1864, ext. 207
Publication date: