A MICRO-SCALE APPROACH FOR CROPLAND SUITABILITY ASSESSMENT OF PERMANENT CROPS USING MACHINE LEARNING AND A LOW-COST UAV

A Micro-Scale Approach for Cropland Suitability Assessment of Permanent Crops Using Machine Learning and a Low-Cost UAV

This study presents a micro-scale approach for the cropland suitability assessment of permanent crops based on a low-cost unmanned aerial vehicle (UAV) equipped with a commercially available RGB sensor.The study area was divided into two subsets, with subsets A and B containing tangerine plantations planted during years 2000 and 2008, respectively.

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Automatic Visual Inspection System based on Image Processing and Neural Network for Quality Control of Sandwich Panel

In this study, an automatic system based on image processing methods using features based on convolutional neural networks is proposed to detect the degree of possible dipping and buckling on the sandwich panel surface by a colour camera.The proposed method, by receiving an image of the sandwich panel, can detect the dipping Mechanical Drain Pump a

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