Artificial intelligence-based approach for improving the aeration efficiency of a perforated plate aeration system

SM Roy, CM Pareek, T Kim, BC Mal - Multiscale and Multidisciplinary …, 2024 - Springer
Aeration of a water body is artificially performed to create a close interface between the air
and the water, allowing for the enhancement of dissolved oxygen (DO) content. High levels …

Modeling the Mechanical Properties of Root–Substrate Interaction with a Transplanter Using Artificial Neural Networks

Z Tian, A Gao, W Ma, H Jiang, D Cao, W Wang, J Qian… - Agriculture, 2024 - mdpi.com
The mechanical properties of a plug seedling substrate determine whether it will crush
during the transplantation, thereby affecting the integrity of the root system and the survival …

Evaluation of artificial neurocomputing algorithms and their metacognitive robustness in predictive modeling of fuel consumption rates during tillage

F Mwiti, A Gitau, D Mbuge - Computers and Electronics in Agriculture, 2024 - Elsevier
Artificial intelligence (AI) requires complex neurocomputing algorithms (NCAs) for
robustness in predictive modeling. Since 1990, a plethora of NCAs have evolved …

Automated Prototype Intra Row Weeding System

SP Kumar, VK Tewari, AK Chandel, CR Mehta, B Nare… - 2024 - nopr.niscpr.res.in
Over the course of several decades, considerable efforts have been dedicated to weed
control, exploring various methods and technologies such as manual, chemical, biological …

SUBSTANTIATING THE STRUCTURAL AND TECHNOLOGICAL PARAMETERS OF TILLAGE ROTARY X-LIKE WORKING BODIES.

I Shevchenko, G Golub, N Tsyvenkova… - Eastern-European …, 2024 - search.ebscohost.com
The object of this study is the process of grinding and crumbling the surface layer of the soil
with turf of winter crops by X-shaped working bodies. It has been established that the use of …