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...
Sparad:
| Materialtyp: | Online |
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| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Ämnen: | |
| Länkar: | ONIX_20250812T095121_9783725832118_79 |
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| _version_ | 1869525445809012736 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-165130 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1651302025-08-12T08:04:26Z Intelligent Agricultural Machinery and Robots Yuan, Jin Huang, Zichen 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 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. 2025-08-12T08:04:24Z 2025-08-12T08:04:24Z 2025 book ONIX_20250812T095121_9783725832118_79 9783725832118 9783725832125 https://directory.doabooks.org/handle/20.500.12854/165130 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10556 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3212-5 10.3390/books978-3-7258-3212-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725832118 9783725832125 312 open access |
| spellingShingle | 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 Intelligent Agricultural Machinery and Robots |
| title | Intelligent Agricultural Machinery and Robots |
| title_full | Intelligent Agricultural Machinery and Robots |
| title_fullStr | Intelligent Agricultural Machinery and Robots |
| title_full_unstemmed | Intelligent Agricultural Machinery and Robots |
| title_short | Intelligent Agricultural Machinery and Robots |
| title_sort | intelligent agricultural machinery and robots |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20250812T095121_9783725832118_79 |