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 …
Artificial neural network to predict traction performance of autonomous ground vehicle on a sloped soil bin and uncertainty analysis
C Badgujar, D Flippo, S Welch - Computers and Electronics in Agriculture, 2022 - Elsevier
A fleet of autonomous ground vehicles (AGV) is envisioned to expand farming to arable land
suitable for production except for being too steep for conventional equipment. The success …
suitable for production except for being too steep for conventional equipment. The success …
Quality and shelf-life prediction of cauliflower under modified atmosphere packaging by using artificial neural networks and image processing
The aim of this research is to study the effects of modified atmosphere packaging (MAP) with
a gas mixture (92% nitrogen, 5% carbon dioxide and 3% oxygen) and a packaging with …
a gas mixture (92% nitrogen, 5% carbon dioxide and 3% oxygen) and a packaging with …
[HTML][HTML] On the neurocomputing based intelligent simulation of tractor fuel efficiency parameters
SM Shafaei, M Loghavi, S Kamgar - Information Processing in Agriculture, 2018 - Elsevier
Tractor fuel efficiency parameters (TFEPs)(fuel consumption per working hour (FCWH), fuel
consumption per tilled area (FCTA) and specific volumetric fuel consumption (SVFC)) were …
consumption per tilled area (FCTA) and specific volumetric fuel consumption (SVFC)) were …
An extensive validation of computer simulation frameworks for neural prognostication of tractor tractive efficiency
SM Shafaei, M Loghavi, S Kamgar - Computers and Electronics in …, 2018 - Elsevier
To optimize power and energy resources in field operations, there is an inevitable demand
for attempts to be conducted regarding determination of performance parameters of tractor …
for attempts to be conducted regarding determination of performance parameters of tractor …
Prediction of specific fuel consumption of a tractor during the tillage process using an artificial neural network method
SM Al-Sager, SS Almady, SA Marey, SA Al-Hamed… - Agronomy, 2024 - mdpi.com
In mechanized agricultural activities, fuel is particularly important for tillage operations. In
this study, the impact of seven distinct parameters on fuel usage per unit of draft power was …
this study, the impact of seven distinct parameters on fuel usage per unit of draft power was …
Modeling of draft and energy requirements of a moldboard plow using artificial neural networks based on two novel variables
A Al-Janobi, S Al-Hamed, A Aboukarima… - Engenharia …, 2020 - SciELO Brasil
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 …
machinery management owing to their role in matching the tractor with implements for …
Deep neural networks to predict autonomous ground vehicle behavior on sloping 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 …
Cloud-driven serverless framework for generalised tractor fuel consumption prediction model using machine learning
The fuel consumption model serves as a valuable tool for estimating real-time fuel
consumption levels. An accurate fuel consumption model is crucial in providing precise …
consumption levels. An accurate fuel consumption model is crucial in providing precise …
[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 …