2023
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Design and Application of Agricultural Equipment in Tillage System
- Ort / Verlag
- Basel: MDPI - Multidisciplinary Digital Publishing Institute
- Erscheinungsjahr
- 2023
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 9783036572949, 3036572945, 9783036572956, 3036572953DOI: 10.3390/books978-3-0365-7295-6Titel-ID: cdi_oapen_doabooks_100060
- Format
- –
- Schlagworte
- adaptive neuro-fuzzy inference system, agricultural, agricultural machine, agricultural machinery, analytical force prediction model, anti-blocking and row-sorting, Book Industry Communication, calibration, cavitating law, cohesive and frictional soils, collision restitution coefficient, compaction, compound planter, control strategy, corn seed, correction of characteristics, cotton recovery device, coupled simulation, DBSCAN, deep learning, deflector optimization, DEM, DEM contact models, DEM-MBD coupling, disc, disc blade, disc seeder, discrete element, discrete element method, discrete element method (DEM), discrete element modeling, discrete element simulation, ditching, dry direct-seeded rice, dual motor coupling drive, dual vs. single tyres, durability calculation method, EDEM, electric tractor, electrical tractor, experiment, flat disc, fluid analysis, force prediction, full-factorial test, fuzzy inference system, generalization ability, geometric principle, GMM, History of engineering & technology, HMCVT, hole-forming device, hydro-mechanical continuously variable transmission, I-GA, I-PSO algorithm, I-SA algorithm, image processing, improved genetic algorithm, key components, Kmeans, machine vision, MBD, MBD-DEM bidirectional coupling model, mechanical control, motor efficiency, multi-body dynamics (MBD), n/a, neural networks, no-till sowing, no-tillage, no-tillage sowing, optimal design, optimization design, parameter identification, parameter match, parameter optimization, parameters optimization, plasma-hardening surface, plough, ploughshares, post-harvest, property, prototype, quality improvement, rapeseed transplanting, residual film recovery device, residual film recovery machine, response surface regression model, rice combine harvester, rut depth, sandy soil, seed offset, seedbed clearing and shaping, seeding, seeding furrow, seed–soil, semi-analytical model, simulation, simulation experiments, single evaluation index modeling method, smart agriculture, soil, soil bearing capacity, soil cover, soil displacement, soil dynamics, soil failure, soil forces, soil separation spiral, soil-covering thickness, soil-tool interaction, sowing strip cleaning, soybean, spiral discharge straw, spring-tine, stalk cutting, steering control, stone removal rate, strip farming, stubble management, support vector regression, Technology, engineering, agriculture, Technology: general issues, throwing device, throwing width, tillage, tilling depth, topsoil burial, traction, tractive efficiency, tractor, traffic, two-wheeled robot trailer, tyre size and inflation pressure, unmanned, virtual simulation, wear, weeder, well-cellar cavitating mechanism, wind blades