Robots and Autonomous Machines for Agriculture Production

• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2023
• Descrizione fisica: 1 online resource (520 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: adoption; agricultural robot; agricultural robotics; agriculture; apple detection; apple grader; apple harvesting; artificial intelligence; attention mechanism SE; automated welding; automatic peeling machines; autonomous navigation; autonomous robots; autonomous vehicle; bale collection problem; binocular vision; broadcast monitoring; CANopen protocol; cloud computing; cluster fruit; computer vision; constant-pressure feedback; cotton precision planter; cotton seeder; cotton seeds; cracked eggs; dairy farm; data acquisition; deep learning; density-based spatial clustering of applications with noise; DIoU_Loss; drones; duckbill; egg's electrical characteristic model; electrical characteristics; field experiment; film recycling; film recycling rate; Fin Ray effect; finite element analysis; forage handling; fresh weight prediction; fully connected neural network; garlic clove righting; garlic seeding; genetic algorithm; genetic ant colony stepwise algorithm; global optimization; growth model; high-performance film for full recycling; high-speed photography technology; Industry 4.0; information perception of fruit trees; IoT; jujube pruning; kinematic analysis; least-square; lightning attachment procedure optimization; machine learning; machine vision; manipulator; Mask R-CNN; microcurrent signal analysis; mish; missed broadcast monitoring; mobile manipulation; motion planning; motor-driven; multiarm harvesting trajectory optimization; multiobjective optimization; n/a; naive Bayesian network; navigation line extraction; neighborhood collection; no-tillage; nondestructive detection; obstacle avoidance; optimization and optimal control; orchard machinery; orientation recognition; path extraction; path planning; performance test; phenotyping; photoelectric sensor; picking manipulator; picking robot; pineapple eye; point cloud registration of fruit trees; poultry eggs; precision agriculture; precision planter; pusher robot; recognition; regression superposition; residual network; robotic pest control; robots; shrimp; ShufflenetV2; Simufact Welding; skeleton extraction; slip detection; smart production; soft gripper; solar greenhouse; sowing quality; step-size dichotomy; stereo matching; stereo-matching; straw-rotting fungus; substrate-cultivated lettuce; tactile perception; technology; three-dimensional; tiller counting; TO-RRT; unmanned vehicles; viticulture; wavelet scattering convolutional network; welding robot; YOLOv5; YOLOX
• Sommario/riassunto: 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 in various agricultural applications, including management, disease detection, crop monitoring, yield estimation, and crop harvesting. Robotics and autonomous machines represent a high-level application of automation in agriculture, based on precise and resource-efficient approaches to sustainably achieve greater efficiency and quality in the production of agricultural products while reducing environmental impact. Reactive technologies based on agricultural robots and autonomous machines are separate but closely related fields covering the application of automated control and robotic platforms at all levels of agricultural production. In robotic or autonomous systems, agricultural sensing and control is particularly difficult due to the complexity of the environment in which agricultural production operates. The open robot system has good expansibility, versatility and flexible operation ability. The establishment of agricultural robot control system can guarantee the reliability and real-time control. A total of 26 papers are included that explores the various ways in which robotics and autonomous machines for agricultural production address general problems.
• Titolo autorizzato: Robots and Autonomous Machines for Agriculture Production
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743274003321
• Lo trovi qui: Univ. Federico II