Design and Application of Agricultural Equipment in Tillage System
Agricultural productivity should increase to meet the growing food demand. Tillage is defined as the mechanical manipulation of agricultural soil, and it is an extremely vital part of crop production, particularly for seedbed preparation and weed control. Tillage operations are carried out using mec...
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | ONIX_20230511_9783036572949_77 |
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| description | Agricultural productivity should increase to meet the growing food demand. Tillage is defined as the mechanical manipulation of agricultural soil, and it is an extremely vital part of crop production, particularly for seedbed preparation and weed control. Tillage operations are carried out using mechanical force, commonly with a tractor-drawn tool to achieve the cutting, inversion, pulverization, and disturbance of soil. A significant part of the energy (from fossil fuels) used in crop production is expended in tillage. This energy use results in greenhouse gas emissions. It is essential that we reduce energy use (hence, greenhouse gas emissions) to achieve sustainable farming practices and improve crop production and design new tillage tools or optimize the existing tools. Although the design and evaluation of tillage tools are generally carried out using analytical methods and field experiments, with recent technological improvements, computer technology has been used for the design and evaluation of tillage tools. Additionally, sensor technology can improve the efficiency of tillage tools. This Special Issue collated innovative papers that make a significant contribution to the design and application of agricultural equipment in tillage systems. It involved original research and review papers from different research fields, such as agricultural engineering, engineering simulation, and precision agriculture. |
| format | Online |
| id | doab-20.500.12854ir-100060 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1000602024-04-11T15:10:54Z Design and Application of Agricultural Equipment in Tillage System Ucgul, Mustafa Chang, Chung-Liang deep learning machine vision weeder smart agriculture mechanical control agricultural unmanned electrical tractor no-tillage disc spring-tine soil property traffic rapeseed transplanting hole-forming device key components experiment electric tractor motor efficiency dual motor coupling drive I-SA algorithm generalization ability parameter identification image processing two-wheeled robot trailer steering control strip farming no-tillage sowing sowing strip cleaning spiral discharge straw discrete element simulation anti-blocking and row-sorting compound planter ditching soil separation spiral discrete element method parameter optimization agricultural machinery HMCVT correction of characteristics I-PSO algorithm parameter match residual film recovery machine DEM virtual simulation hydro-mechanical continuously variable transmission tractor optimization design simulation experiments I-GA geometric principle plough ploughshares durability calculation method agricultural machine wear plasma-hardening surface simulation quality improvement improved genetic algorithm full-factorial test single evaluation index modeling method control strategy soil cover discrete element soil-covering thickness seed offset rice combine harvester throwing device wind blades fluid analysis deflector optimization throwing width cotton recovery device EDEM parameters optimization MBD coupled simulation seeding soybean seed–soil corn seed collision restitution coefficient residual film recovery device response surface regression model seedbed clearing and shaping stone removal rate seeding furrow dry direct-seeded rice discrete element modeling dual vs. single tyres rut depth soil bearing capacity soil displacement tractive efficiency tyre size and inflation pressure Kmeans DBSCAN GMM tilling depth well-cellar cavitating mechanism MBD-DEM bidirectional coupling model optimal design cavitating law flat disc analytical force prediction model discrete element method (DEM) soil-tool interaction disc seeder disc blade force prediction semi-analytical model sandy soil stubble management no-till sowing stalk cutting post-harvest prototype multi-body dynamics (MBD) DEM-MBD coupling topsoil burial tillage traction compaction neural networks support vector regression fuzzy inference system adaptive neuro-fuzzy inference system calibration DEM contact models soil dynamics soil failure soil forces cohesive and frictional soils n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Agricultural productivity should increase to meet the growing food demand. Tillage is defined as the mechanical manipulation of agricultural soil, and it is an extremely vital part of crop production, particularly for seedbed preparation and weed control. Tillage operations are carried out using mechanical force, commonly with a tractor-drawn tool to achieve the cutting, inversion, pulverization, and disturbance of soil. A significant part of the energy (from fossil fuels) used in crop production is expended in tillage. This energy use results in greenhouse gas emissions. It is essential that we reduce energy use (hence, greenhouse gas emissions) to achieve sustainable farming practices and improve crop production and design new tillage tools or optimize the existing tools. Although the design and evaluation of tillage tools are generally carried out using analytical methods and field experiments, with recent technological improvements, computer technology has been used for the design and evaluation of tillage tools. Additionally, sensor technology can improve the efficiency of tillage tools. This Special Issue collated innovative papers that make a significant contribution to the design and application of agricultural equipment in tillage systems. It involved original research and review papers from different research fields, such as agricultural engineering, engineering simulation, and precision agriculture. 2023-05-11T17:18:52Z 2023-05-11T17:18:52Z 2023 book ONIX_20230511_9783036572949_77 9783036572949 9783036572956 https://directory.doabooks.org/handle/20.500.12854/100060 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7153 https://mdpi.com/books/pdfview/book/7153 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7295-6 10.3390/books978-3-0365-7295-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036572949 9783036572956 564 Basel open access |
| spellingShingle | deep learning machine vision weeder smart agriculture mechanical control agricultural unmanned electrical tractor no-tillage disc spring-tine soil property traffic rapeseed transplanting hole-forming device key components experiment electric tractor motor efficiency dual motor coupling drive I-SA algorithm generalization ability parameter identification image processing two-wheeled robot trailer steering control strip farming no-tillage sowing sowing strip cleaning spiral discharge straw discrete element simulation anti-blocking and row-sorting compound planter ditching soil separation spiral discrete element method parameter optimization agricultural machinery HMCVT correction of characteristics I-PSO algorithm parameter match residual film recovery machine DEM virtual simulation hydro-mechanical continuously variable transmission tractor optimization design simulation experiments I-GA geometric principle plough ploughshares durability calculation method agricultural machine wear plasma-hardening surface simulation quality improvement improved genetic algorithm full-factorial test single evaluation index modeling method control strategy soil cover discrete element soil-covering thickness seed offset rice combine harvester throwing device wind blades fluid analysis deflector optimization throwing width cotton recovery device EDEM parameters optimization MBD coupled simulation seeding soybean seed–soil corn seed collision restitution coefficient residual film recovery device response surface regression model seedbed clearing and shaping stone removal rate seeding furrow dry direct-seeded rice discrete element modeling dual vs. single tyres rut depth soil bearing capacity soil displacement tractive efficiency tyre size and inflation pressure Kmeans DBSCAN GMM tilling depth well-cellar cavitating mechanism MBD-DEM bidirectional coupling model optimal design cavitating law flat disc analytical force prediction model discrete element method (DEM) soil-tool interaction disc seeder disc blade force prediction semi-analytical model sandy soil stubble management no-till sowing stalk cutting post-harvest prototype multi-body dynamics (MBD) DEM-MBD coupling topsoil burial tillage traction compaction neural networks support vector regression fuzzy inference system adaptive neuro-fuzzy inference system calibration DEM contact models soil dynamics soil failure soil forces cohesive and frictional soils n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Design and Application of Agricultural Equipment in Tillage System |
| title | Design and Application of Agricultural Equipment in Tillage System |
| title_full | Design and Application of Agricultural Equipment in Tillage System |
| title_fullStr | Design and Application of Agricultural Equipment in Tillage System |
| title_full_unstemmed | Design and Application of Agricultural Equipment in Tillage System |
| title_short | Design and Application of Agricultural Equipment in Tillage System |
| title_sort | design and application of agricultural equipment in tillage system |
| topic | deep learning machine vision weeder smart agriculture mechanical control agricultural unmanned electrical tractor no-tillage disc spring-tine soil property traffic rapeseed transplanting hole-forming device key components experiment electric tractor motor efficiency dual motor coupling drive I-SA algorithm generalization ability parameter identification image processing two-wheeled robot trailer steering control strip farming no-tillage sowing sowing strip cleaning spiral discharge straw discrete element simulation anti-blocking and row-sorting compound planter ditching soil separation spiral discrete element method parameter optimization agricultural machinery HMCVT correction of characteristics I-PSO algorithm parameter match residual film recovery machine DEM virtual simulation hydro-mechanical continuously variable transmission tractor optimization design simulation experiments I-GA geometric principle plough ploughshares durability calculation method agricultural machine wear plasma-hardening surface simulation quality improvement improved genetic algorithm full-factorial test single evaluation index modeling method control strategy soil cover discrete element soil-covering thickness seed offset rice combine harvester throwing device wind blades fluid analysis deflector optimization throwing width cotton recovery device EDEM parameters optimization MBD coupled simulation seeding soybean seed–soil corn seed collision restitution coefficient residual film recovery device response surface regression model seedbed clearing and shaping stone removal rate seeding furrow dry direct-seeded rice discrete element modeling dual vs. single tyres rut depth soil bearing capacity soil displacement tractive efficiency tyre size and inflation pressure Kmeans DBSCAN GMM tilling depth well-cellar cavitating mechanism MBD-DEM bidirectional coupling model optimal design cavitating law flat disc analytical force prediction model discrete element method (DEM) soil-tool interaction disc seeder disc blade force prediction semi-analytical model sandy soil stubble management no-till sowing stalk cutting post-harvest prototype multi-body dynamics (MBD) DEM-MBD coupling topsoil burial tillage traction compaction neural networks support vector regression fuzzy inference system adaptive neuro-fuzzy inference system calibration DEM contact models soil dynamics soil failure soil forces cohesive and frictional soils n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | deep learning machine vision weeder smart agriculture mechanical control agricultural unmanned electrical tractor no-tillage disc spring-tine soil property traffic rapeseed transplanting hole-forming device key components experiment electric tractor motor efficiency dual motor coupling drive I-SA algorithm generalization ability parameter identification image processing two-wheeled robot trailer steering control strip farming no-tillage sowing sowing strip cleaning spiral discharge straw discrete element simulation anti-blocking and row-sorting compound planter ditching soil separation spiral discrete element method parameter optimization agricultural machinery HMCVT correction of characteristics I-PSO algorithm parameter match residual film recovery machine DEM virtual simulation hydro-mechanical continuously variable transmission tractor optimization design simulation experiments I-GA geometric principle plough ploughshares durability calculation method agricultural machine wear plasma-hardening surface simulation quality improvement improved genetic algorithm full-factorial test single evaluation index modeling method control strategy soil cover discrete element soil-covering thickness seed offset rice combine harvester throwing device wind blades fluid analysis deflector optimization throwing width cotton recovery device EDEM parameters optimization MBD coupled simulation seeding soybean seed–soil corn seed collision restitution coefficient residual film recovery device response surface regression model seedbed clearing and shaping stone removal rate seeding furrow dry direct-seeded rice discrete element modeling dual vs. single tyres rut depth soil bearing capacity soil displacement tractive efficiency tyre size and inflation pressure Kmeans DBSCAN GMM tilling depth well-cellar cavitating mechanism MBD-DEM bidirectional coupling model optimal design cavitating law flat disc analytical force prediction model discrete element method (DEM) soil-tool interaction disc seeder disc blade force prediction semi-analytical model sandy soil stubble management no-till sowing stalk cutting post-harvest prototype multi-body dynamics (MBD) DEM-MBD coupling topsoil burial tillage traction compaction neural networks support vector regression fuzzy inference system adaptive neuro-fuzzy inference system calibration DEM contact models soil dynamics soil failure soil forces cohesive and frictional soils n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230511_9783036572949_77 |