MODELING OF DRAFT AND ENERGY REQUIREMENTS OF A MOLDBOARD PLOW USING ARTIFICIAL NEURAL NETWORKS BASED ON TWO NOVEL VARIABLES

Autor: Abdulrahman Al-Janobi, Saad Al-Hamed, Abdulwahed Aboukarima, Yousef Almajhadi

Publikováno v: Engenharia Agrícola, Vol 40, Iss 3, Pp 363-373 (2020)

ABSTRACT Draft and energy requirements are the most important factors in the activities of farm machinery management owing to their role in matching the tractor with implements for different tillage operations. This study's aim was to model the draft

Externí odkaz: https://doaj.org/article/288a3e506fa840b19c3ccfbb6314b866

PREDICTING THE PERFORMANCE PARAMETERS OF CHISEL PLOW USING NEURAL NETWORK MODEL

Autor: Yousef Almajhadi, Samy Marey, Abdulwahed M. Aboukarima

Publikováno v: Engenharia Agrícola, Volume: 40, Issue: 6, Pages: 719-731, Published: 23 NOV 2020
Engenharia Agrícola v.40 n.6 2020
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA

This study examines the capability of an artificial neural network (ANN) approach using a backpropagation-learning algorithm to predict performance parameters for a chisel plow at three field sites with differing soils. The draft force, effective fie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1d07c40bdc5e676b67a16478facc374
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600719&lng=en&tlng=en