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Application of computational intelligence methods in agricultural soil–machine interaction: A review
C Badgujar, S Das, DM Figueroa, D Flippo - Agriculture, 2023 - mdpi.com
Rapid advancements in technology, particularly in soil tools and agricultural machinery,
have led to the proliferation of mechanized agriculture. The interaction between such …
have led to the proliferation of mechanized agriculture. The interaction between such …
Applying a supervised ANN (artificial neural network) approach to the prognostication of driven wheel energy efficiency indices
This paper examines the prediction of energy efficiency indices of driven wheels (ie traction
coefficient and tractive power efficiency) as affected by wheel load, slippage and forward …
coefficient and tractive power efficiency) as affected by wheel load, slippage and forward …
Artificial neural network based modeling of tractor performance at different field conditions
Application of tractors in farming is undeniable as a power supply. Therefore, performance
model for evolving parameters of tractors and implements are essential for farm machinery …
model for evolving parameters of tractors and implements are essential for farm machinery …
Applying an artificial neural network approach to the analysis of tractive properties in changing soil conditions
K Pentoś, K Pieczarka - Soil and Tillage Research, 2017 - Elsevier
For better performance of a micro-tractor during agricultural operations, it is necessary to
select the optimal tractor configuration for the operation. The purpose of this study was to …
select the optimal tractor configuration for the operation. The purpose of this study was to …
Deep neural networks to predict autonomous ground vehicle behavior on slo** terrain field
C Badgujar, S Das, DM Figueroa… - Journal of Field …, 2023 - Wiley Online Library
Conventional large agricultural machinery or implements are unsafe and unsuitable to
operate on slopes> 6∘ 6^∘ or 10%. Tractor rollovers are frequent on slopes, precluding …
operate on slopes> 6∘ 6^∘ or 10%. Tractor rollovers are frequent on slopes, precluding …
On the modeling of energy efficiency indices of agricultural tractor driving wheels applying adaptive neuro-fuzzy inference system
The objective is to assess the potential of adaptive neuro-fuzzy inference system (ANFIS) for
the prediction of energy efficiency indices of driving wheels (ie traction coefficient and …
the prediction of energy efficiency indices of driving wheels (ie traction coefficient and …
Use of a convolutional neural network for predicting fuel consumption of an agricultural tractor
The energy crisis and depleting fossil fuel resources have always been the focus of
researchers. Fuel consumption of agricultural tractors is not an exception. Researchers have …
researchers. Fuel consumption of agricultural tractors is not an exception. Researchers have …
Evaluating the effect of tire parameters on required drawbar pull energy model using adaptive neuro-fuzzy inference system
Determination of the required energy for drawbar pull of agricultural tractors plays a
significant role in the characterization of the quality of tractors during different operations …
significant role in the characterization of the quality of tractors during different operations …
A multivariate multiple regression analysis of tire-road contact peak triaxial stress by using machine learning methods
X Li, M Guo, X Zhou - Mechanics of Advanced Materials and …, 2021 - Taylor & Francis
Predicting the tire-road contact triaxial stress is significant in assessing performance of
vehicle and road surface material. However, both the Finite Element Method and the direct …
vehicle and road surface material. However, both the Finite Element Method and the direct …
Prediction of kinematic viscosities of biodiesels derived from edible and non-edible vegetable oils by using artificial neural networks
In the present study, the seeds named as wild mustard (Sinapis arvensis L.) and safflower
(Carthamus tinctorius L.) were used as feedstocks for production of biodiesels. In order to …
(Carthamus tinctorius L.) were used as feedstocks for production of biodiesels. In order to …