The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …

The constant advances in agricultural robotics aim to overcome the challenges imposed by
population growth, accelerated urbanization, high competitiveness of high-quality products …

Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield mapping and automated harvesting. However, to perform …

In recent years, with the rapid development of science and technology, agricultural robots
have gradually begun to replace humans, to complete various agricultural operations …

Abstract The Internet of Things (IoT) and the relevant technologies have had a significant
impact on smart farming as a major sub-domain within the field of agriculture. Modern …

Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …

Abstract Large-scale, high-accuracy, and adaptive three-dimensional (3D) perception are
the basic technical requirements for constructing a practical and stable fruit-picking robot …

This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …

目标识别和定位的精度直接关系到采摘机器人采摘效率, 质量和速度. 本文对近年来采摘机器人
的目标识别和三维定位的研究工作进行了系统性的总结和分析, 综述了果蔬识别和定位的几种 …

Field robotic harvesting is a promising technique in recent development of agricultural
industry. It is vital for robots to recognise and localise fruits before the harvesting in natural …