Robots and Autonomous Machines for Agriculture Production

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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
अन्य लेखक: Yuan, Jin (संपादक), Ji, Wei (संपादक), Feng, Qingchun (संपादक)
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
भाषा:अंग्रेज़ी
प्रकाशित: MDPI - Multidisciplinary Digital Publishing Institute 2023
विषय:
IoT
n/a
ऑनलाइन पहुंच:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Robots and Autonomous Machines for Agriculture Production 
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520 |a 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. 
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546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a mobile manipulation 
653 |a optimization and optimal control 
653 |a agricultural robotics 
653 |a viticulture 
653 |a jujube pruning 
653 |a manipulator 
653 |a kinematic analysis 
653 |a high-speed photography technology 
653 |a performance test 
653 |a picking manipulator 
653 |a motion planning 
653 |a TO-RRT 
653 |a step-size dichotomy 
653 |a regression superposition 
653 |a robotic pest control 
653 |a Mask R-CNN 
653 |a skeleton extraction 
653 |a binocular vision 
653 |a stereo matching 
653 |a machine vision 
653 |a picking robot 
653 |a apple detection 
653 |a YOLOX 
653 |a ShufflenetV2 
653 |a point cloud registration of fruit trees 
653 |a lightning attachment procedure optimization 
653 |a density-based spatial clustering of applications with noise 
653 |a information perception of fruit trees 
653 |a precision planter 
653 |a motor-driven 
653 |a CANopen protocol 
653 |a photoelectric sensor 
653 |a no-tillage 
653 |a straw-rotting fungus 
653 |a multiarm harvesting trajectory optimization 
653 |a multiobjective optimization 
653 |a cluster fruit 
653 |a genetic ant colony stepwise algorithm 
653 |a dairy farm 
653 |a pusher robot 
653 |a path extraction 
653 |a obstacle avoidance 
653 |a high-performance film for full recycling 
653 |a film recycling 
653 |a field experiment 
653 |a film recycling rate 
653 |a precision agriculture 
653 |a Industry 4.0 
653 |a technology 
653 |a adoption 
653 |a unmanned vehicles 
653 |a smart production 
653 |a drones 
653 |a robots 
653 |a cotton precision planter 
653 |a cotton seeds 
653 |a broadcast monitoring 
653 |a missed broadcast monitoring 
653 |a sowing quality 
653 |a electrical characteristics 
653 |a poultry eggs 
653 |a nondestructive detection 
653 |a cracked eggs 
653 |a machine learning 
653 |a garlic seeding 
653 |a orientation recognition 
653 |a garlic clove righting 
653 |a deep learning 
653 |a fully connected neural network 
653 |a autonomous navigation 
653 |a navigation line extraction 
653 |a orchard machinery 
653 |a least-square 
653 |a apple harvesting 
653 |a soft gripper 
653 |a Fin Ray effect 
653 |a finite element analysis 
653 |a constant-pressure feedback 
653 |a slip detection 
653 |a fresh weight prediction 
653 |a growth model 
653 |a naive Bayesian network 
653 |a solar greenhouse 
653 |a substrate-cultivated lettuce 
653 |a phenotyping 
653 |a agricultural robot 
653 |a tiller counting 
653 |a residual network 
653 |a agriculture 
653 |a path planning 
653 |a neighborhood collection 
653 |a autonomous vehicle 
653 |a genetic algorithm 
653 |a global optimization 
653 |a bale collection problem 
653 |a forage handling 
653 |a pineapple eye 
653 |a three-dimensional 
653 |a YOLOv5 
653 |a stereo-matching 
653 |a cotton seeder 
653 |a duckbill 
653 |a Simufact Welding 
653 |a welding robot 
653 |a automated welding 
653 |a apple grader 
653 |a attention mechanism SE 
653 |a DIoU_Loss 
653 |a mish 
653 |a autonomous robots 
653 |a data acquisition 
653 |a computer vision 
653 |a shrimp 
653 |a automatic peeling machines 
653 |a tactile perception 
653 |a recognition 
653 |a wavelet scattering convolutional network 
653 |a microcurrent signal analysis 
653 |a egg's electrical characteristic model 
653 |a artificial intelligence 
653 |a IoT 
653 |a cloud computing 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/7738  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/113897  |7 0  |z DOAB: description of the publication