This paper communicates the prediction of required draft force of disk plow implement
during tillage operations. The well-known mathematical model proposed by American …

Required draft force of chisel plow implement during tillage operations was
comprehensively apprised. Field experiments were carried out at three levels of plowing …

Abstract Machine learning (ML) models are developed to predict draft for mouldboard
ploughs operating in sandy-clay-loam soil. The draft of tillage tools is influenced by soil cone …

This study investigates potential of neuro-fuzzy strategy in prognostication of draft
parameters of primary tillage implement. To this aim, computer simulation environment of …

Tendency towards computer simulations linked to agricultural machinery has enormously
increased in recent years. In this regard, the principal contribution of current research was to …

The article deals with a design of the adjustable lightweight safety device made from
composite materials and used for reversible plows. Initially, a design scheme was …

In the field of agricultural machinery, various empirical field tests are conducted to measure
design loads for the optimal design and implementation of tractors. However, conducting …

Tractor is the most prominent off-road agricultural machinery that is significant to the global
food security. The tractive modelling of tyre–soil interaction and agricultural implement …

Machine learning models, Artificial neural network, Tillage performance, Energy needs,
draught Tillage as one of the agricultural practices consumes the largest amount of energy …

An interactive computer application in C-Sharp language was developed to predict the
performance indicator of a tractor-chisel plow system. Moreover, the purpose of such …