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10 results on '"Plough"'

1. Survey on the Stability of Tractor-Implement Combination on Increasing Slopes

Author

Pessina, Domenico, Tadini, Valeria, Galli, Lavinia Eleonora, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Berruto, Remigio, editor, Biocca, Marcello, editor, Cavallo, Eugenio, editor, Cecchini, Massimo, editor, Failla, Sabina, editor, and Romano, Elio, editor

Published
2024
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3. Simulated Design of an Autonomous Multi-terrain Modular Agri-bot

Author

Ahmad, Safwan, Forhad, Shamim, Shuvo, Mahmudul Hasan, Saifee, Sadman, Hossen, Md Shahadat, Nabeen, Kazi Naimul Islam, Bhuiyan, Mahbubul Haq, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Udgata, Siba K., editor, Sethi, Srinivas, editor, and Gao, Xiao-Zhi, editor

Published
2024
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4. Innovative Design and Analysis of Plough for Vineyards

Author

Katkade, Pratik, Joshi, Nikhil, D Sonawwanay, Puskaraj, Pawar, Prashant M., editor, Ronge, Babruvahan P., editor, Gidde, Ranjitsinha R., editor, Pawar, Meenakshi M., editor, Misal, Nitin D., editor, Budhewar, Anupama S., editor, More, Vrunal V., editor, and Reddy, P. Venkata, editor

Published
2024
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5. Influence of Ploughshare Wear on Plough Efficiency

Author

Molari, Giovanni, Varani, Massimiliano, Mattetti, Michele, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Coppola, Antonio, editor, Di Renzo, Giovanni Carlo, editor, Altieri, Giuseppe, editor, and D'Antonio, Paola, editor

Published
2020
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9. Design and Application of Agricultural Equipment in Tillage System.

Author

Ucgul, Mustafa, Chang, Chung-Liang, and Ucgul, Mustafa

Subjects
History of engineering & technology, Technology: general issues, DBSCAN, DEM, DEM contact models, DEM-MBD coupling, EDEM, GMM, HMCVT, I-GA, I-PSO algorithm, I-SA algorithm, Kmeans, MBD, MBD-DEM bidirectional coupling model, adaptive neuro-fuzzy inference system, agricultural, agricultural machine, agricultural machinery, analytical force prediction model, anti-blocking and row-sorting, 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, deep learning, deflector optimization, 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, electric tractor, electrical tractor, experiment, flat disc, fluid analysis, force prediction, full-factorial test, fuzzy inference system, generalization ability, geometric principle, hole-forming device, hydro-mechanical continuously variable transmission, image processing, improved genetic algorithm, key components, machine vision, 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, seed-soil, seedbed clearing and shaping, seeding, seeding furrow, 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, 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
Abstract

Summary: 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.

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