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Apple Crop-Load Estimation via Machine Vision by Roosvelt García is a document available to read on EtoBox.

What is Apple Crop-Load Estimation via Machine Vision about?

This document summarizes a study that developed an over-the-row machine vision system to improve apple crop-load estimation. The system used dual cameras mounted on opposite sides of an over-the-row platform to capture images of apple trees from both sides. This was done to minimize the effects of occlusion and variable lighting conditions. Images were processed to identify and count apples, and determine their 3D locations to eliminate duplicate counting of apples visible to both cameras. The method achiev

Author

Roosvelt García

Language

EN