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LiDAR applications in precision agriculture for cultivating crops: A review of recent advances
Abstract In recent years, Light Detection and Ranging (LiDAR) technology has been one of
the most innovative subjects in laser scanning, remote sensing, and object detection …
the most innovative subjects in laser scanning, remote sensing, and object detection …
Recent advancements in agriculture robots: Benefits and challenges
In the development of digital agriculture, agricultural robots play a unique role and confer
numerous advantages in farming production. From the invention of the first industrial robots …
numerous advantages in farming production. From the invention of the first industrial robots …
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: A review
The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …
food and environmental crises. Focusing on fruit detection, with the rapid development of …
Artificial intelligence in plant breeding
Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in
modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data …
modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data …
A survey of public datasets for computer vision tasks in precision agriculture
Computer vision technologies have attracted significant interest in precision agriculture in
recent years. At the core of robotics and artificial intelligence, computer vision enables …
recent years. At the core of robotics and artificial intelligence, computer vision enables …
Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review
Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield map** and automated harvesting. However, to perform …
such as yield prediction, yield map** and automated harvesting. However, to perform …
Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods
Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …
benefit evaluation, management mode adjustment and so on. However, traditional manual …
[HTML][HTML] Using YOLOv3 algorithm with pre-and post-processing for apple detection in fruit-harvesting robot
A machine vision system for detecting apples in orchards was developed. The system was
designed to be used in harvesting robots and is based on a YOLOv3 algorithm with special …
designed to be used in harvesting robots and is based on a YOLOv3 algorithm with special …
Faster R–CNN–based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting
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 …
harvest and specifically suitable for robotic picking, where accurate apple detection and …
[HTML][HTML] Fruit sizing using AI: A review of methods and challenges
Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …
production in orchards and vineyards. In addition, knowing the number and size of the fruit …