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Intelligent Agricultural Machinery and Robots

The rising global population requires more food to satiate the growing dietary needs. Meanwhile, the aging population and declining agricultural labor have caused agricultural production costs to increase. Robots and automated machinery improved management and efficiency, increased productivity, and...

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Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2025
Fag:
transplanter
plug tray seedlings
protected agriculture
end effector
vision system
automatic maize seeding machine
sand-paving device
image processing
analytic hierarchy process
semi-structured road detection
contextual representation
pixel-level segmentation
agricultural robot
Artificial Intelligence
food security
machine learning
Global South
funding
environmental adaptation
adaptive impedance control
unstructured terrain
digging–pulling cassava harvester
intelligent clamping
stalk section detection
YOLOv4 optimization algorithm
embedded platform
boom sprayer
active balance
ground following
motion control
feedforward proportion integration differentiation
vibration
planter
seeder
metering device
ultrasonic sensor
Arduino
precision agriculture
droplet deposition measurement
super-resolution
semantic segmentation
automatic picking robot
mushroom detection
attention mechanism
computer vision
path tracking
rear-wheel steering model
MPC
preview
fuzzy control
PSO
agricultural equipment
autonomous operation
environmental sensing
complete-coverage path planning
contour reconstruction
densely overlapping mushrooms
high-precision contour segmentation
image segmentation
SOLOV2
poultry eggs
microcrack detection
lightweight model
deep learning
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online adgang:ONIX_20250812T095121_9783725832118_79
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Summary:The rising global population requires more food to satiate the growing dietary needs. Meanwhile, the aging population and declining agricultural labor have caused agricultural production costs to increase. Robots and automated machinery improved management and efficiency, increased productivity, and the sustainable development of the agricultural economy. Robotic machines represent a high level of application in agricultural automation based on a precise and resource-efficient approach to achieve higher efficiency and quality in agricultural production. With the recent improvements in artificial intelligence and precision farming, both are now widely employed in various agricultural applications. Agricultural robotic machines are closely related to agricultural production and have since grown in significance as a field of research. Due to the complex operation environment of agricultural production, ample sensitivity and control of agricultural robotic systems are especially difficult to achieve. The establishment of an agricultural robotic system which is in line with the requirements of open field farming and other desired characteristics can ensure expansibility, reliability, as well as flexibility. This Special Issue has collected 14 papers, all of which aim to explore the diverse methods for managing issues with robots and autonomous machines within the context of agricultural production.

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