Robots and Autonomous Machines for Agriculture Production

• Другие авторы: Yuan, Jin (Редактор), Ji, Wei (Редактор), Feng, Qingchun (Редактор)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: MDPI - Multidisciplinary Digital Publishing Institute 2023
• Предметы: Technology: general issues; History of engineering & technology; mobile manipulation; optimization and optimal control; agricultural robotics; viticulture; jujube pruning; manipulator; kinematic analysis; high-speed photography technology; performance test; picking manipulator; motion planning; TO-RRT; step-size dichotomy; regression superposition; robotic pest control; Mask R-CNN; skeleton extraction; binocular vision; stereo matching; machine vision; picking robot; apple detection; YOLOX; ShufflenetV2; point cloud registration of fruit trees; lightning attachment procedure optimization; density-based spatial clustering of applications with noise; information perception of fruit trees; precision planter; motor-driven; CANopen protocol; photoelectric sensor; no-tillage; straw-rotting fungus; multiarm harvesting trajectory optimization; multiobjective optimization; cluster fruit; genetic ant colony stepwise algorithm; dairy farm; pusher robot; path extraction; obstacle avoidance; high-performance film for full recycling; film recycling; field experiment; film recycling rate; precision agriculture; Industry 4.0; technology; adoption; unmanned vehicles; smart production; drones; robots; cotton precision planter; cotton seeds; broadcast monitoring; missed broadcast monitoring; sowing quality; electrical characteristics; poultry eggs; nondestructive detection; cracked eggs; machine learning; garlic seeding; orientation recognition; garlic clove righting; deep learning; fully connected neural network; autonomous navigation; navigation line extraction; orchard machinery; least-square; apple harvesting; soft gripper; Fin Ray effect; finite element analysis; constant-pressure feedback; slip detection; fresh weight prediction; growth model; naive Bayesian network; solar greenhouse; substrate-cultivated lettuce; phenotyping; agricultural robot; tiller counting; residual network; agriculture; path planning; neighborhood collection; autonomous vehicle; genetic algorithm; global optimization; bale collection problem; forage handling; pineapple eye; three-dimensional; YOLOv5; stereo-matching; cotton seeder; duckbill; Simufact Welding; welding robot; automated welding; apple grader; attention mechanism SE; DIoU_Loss; mish; autonomous robots; data acquisition; computer vision; shrimp; automatic peeling machines; tactile perception; recognition; wavelet scattering convolutional network; microcurrent signal analysis; egg's electrical characteristic model; artificial intelligence; IoT; cloud computing; n/a
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

Global population growth, population aging, declining labor force levels, and rising production costs pose more challenges to agricultural production. In recent years, due to the improved performance of artificial intelligence, precision agriculture, and advanced control, they have been widely used...