Appraisal of Takagi-Sugeno-Kang type of adaptive neuro-fuzzy inference system for draft force prediction of chisel plow implement
SM Shafaei, M Loghavi, S Kamgar - Computers and Electronics in …, 2017 - Elsevier
Required draft force of chisel plow implement during tillage operations was
comprehensively apprised. Field experiments were carried out at three levels of plowing …
comprehensively apprised. Field experiments were carried out at three levels of plowing …
Neural network prediction of performance parameters of an inclined plate seed metering device and its reverse mapping for the determination of optimum design and …
M Anantachar, PGV Kumar, T Guruswamy - Computers and Electronics in …, 2010 - Elsevier
Seed planting equipment with inclined plate seed metering devices is the most commonly
used equipment for planting of peanut crop in India. For obtaining the high yield, it is very …
used equipment for planting of peanut crop in India. For obtaining the high yield, it is very …
Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network
A 5–9–1 artificial neural network (ANN) model, with a back propagation learning algorithm,
was developed to predict draught requirements of different tillage implements in a sandy …
was developed to predict draught requirements of different tillage implements in a sandy …
[HTML][HTML] Potential assessment of neuro-fuzzy strategy in prognostication of draft parameters of primary tillage implement
SM Shafaei, M Loghavi, S Kamgar… - Annals of Agrarian Science, 2018 - Elsevier
This study investigates potential of neuro-fuzzy strategy in prognostication of draft
parameters of primary tillage implement. To this aim, computer simulation environment of …
parameters of primary tillage implement. To this aim, computer simulation environment of …
[HTML][HTML] Reliable execution of a robust soft computing workplace found on multiple neuro-fuzzy inference systems coupled with multiple nonlinear equations for …
SM Shafaei, M Loghavi, S Kamgar - Artificial Intelligence in Agriculture, 2019 - Elsevier
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 …
increased in recent years. In this regard, the principal contribution of current research was to …
[PDF][PDF] Artificial neural network model for predicting draft and energy requirements of a disk plow.
SA Al-Hamed, MF Wahby, SM Al-Saqer… - JAPS: Journal of …, 2013 - thejaps.org.pk
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 …
energy requirements of a disk plow. The ANN model utilizes ten input parameters: plowing …
Prediction of draft force and disturbed soil area of a chisel tine in soil bin conditions using draft force and its comparison with regression model
One of our most valuable natural resources is soil. Sustainable agricultural production is
achieved with proper soil management. Tillage is considered to be one of the largest …
achieved with proper soil management. Tillage is considered to be one of the largest …
Development of artificial neural network models for the performance prediction of an inclined plate seed metering device
M Anantachar, GVP Kumar, T Guruswamy - Applied Soft Computing, 2011 - Elsevier
Seed planting equipment with inclined plate seed metering devices is the most commonly
used equipment for planting of peanut crop in India. For obtaining the high yield, it is very …
used equipment for planting of peanut crop in India. For obtaining the high yield, it is very …
Artificial neural network model for predicting specific draft force and fuel consumption requirement of a mouldboard plough
A 2-(5-8)-2 artificial neural network (ANN) model, with a back propagation learning
algorithm, was developed to predict specific draft force and fuel consumption requirements …
algorithm, was developed to predict specific draft force and fuel consumption requirements …
Prediction of energy requirement of a tillage tool in a soil bin using artificial neural network
A Rahman, RL Kushwaha… - … , Kentucky, August 7 …, 2011 - elibrary.asabe.org
A Multilayer feed-forward neural network with back propagation (BP) learning algorithm was
used to build neural network model to predict energy requirement (N) of a tillage tool from …
used to build neural network model to predict energy requirement (N) of a tillage tool from …