Agriculture has always been an important economic and social sector for humans. Fruit
production is especially essential, with a great demand from all households. Therefore, the …

Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …

Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to
harvest and specifically suitable for robotic picking, where accurate apple detection and …

Abstract Contemporary Artificial Intelligence technologies allow for the employment of
Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting …

This study presents a novel method to apply the RGB-D (Red Green Blue-Depth) sensors
and fuse aligned RGB and NIR images with deep convolutional neural networks (CNN) for …

The quality of oil palm fresh fruit bunch (FFB) specified from the maturity level is visually
classified based on the skin colour of the fruit. The maturity level classification of FFB can be …

Fruit detection and localization will be essential for future agronomic management of fruit
crops, with applications in yield prediction, yield map** and automated harvesting. RGB-D …

Every nation's economic development depends heavily on agriculture. Fulfilling the current
population's need for food is becoming increasingly difficult because of factors including …

Highlights•Defects affecting horticultural products and detection challenges are
summarised.•Machine learning's role in addressing issues of fruit defect detection is …

In natural environment, the factors such as illumination change, background interference
and leaf occlusion have a great impact on the tomato detection accuracy of the picking robot …