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 …

The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …

Deep learning has demonstrated excellent capabilities for learning image features and is
widely used in image object detection. In order to improve the performance of machine …

Automatic detection of kiwifruit in the orchard is challenging because illumination varies
through the day and night and because of color similarity between kiwifruit and the complex …

This research paper explores a comprehensive approach to advancing capsicum harvesting
by integrating cutting-edge technologies. The study addresses key objectives, including …

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 …

At present, the primary technical deterrent to the use of strawberry harvesting robots is the
low harvest rate, and there is a need to improve the accuracy and real-time performance of …

To recognize the tender shoots for high-quality tea and to determine the picking points
accurately and quickly, this paper proposes a method of recognizing the picking points of the …

A kiwifruit detection system for field images was developed based on the deep convolutional
neural network, which has a good robustness against the subjectivity and limitation of the …

Fast and accurate detection of kiwifruit in orchard under natural environment is the primary
technology for yield estimation. Deep learning has become a prevalent way of fruit detection …