In this study, artificial neural network (ANN) model was developed for predicting draft and
energy requirements of a disk plow. The ANN model utilizes ten input parameters: plowing …

The energy and draft requirements of a disk plow have been recognized as essential factors
when attempting to correctly match it with tractor power. This study examines the possible of …

This research effort is looking at alternatives to equation-based modeling; the ability to make
predictions without creating equations to describe variable relations satisfies the research …

Information is required on draft force for tillage implements as it plays an important role in
design and development of such implements. Due to the complexity of draft force prediction …

The experiment was conducted to evaluate the effect of primary tillage equipment on
practical productivity, slippage percentage and total cost for machinery units. Three …

The aim of the present study is to assessment of different indices depicting soil texture for
predicting chisel plow draft using neural networks. So, six neural network models with …

The aim of this study is to predict engineering factors related to different soil amendments
using ANN (Artificial Neural Network) model. Multilayer feedforward ANN with 11 input and 5 …

Artificial Neural Network model is used to predict engineering factors [bulk density, hydraulic
conductivity, infiltration rate, soil penetration resistance and available water], under three …