Agriculture is considered one of the most important sectors that play a strategic role in
ensuring food security. However, with the increasing world's population, agri-food demands …

The demand for freshwater resources has increased in recent times and has been
exacerbated by escalating global population and increasing drought indices in the world's …

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

This paper aims to review Artificial neural networks, Multi-Layer Perceptron Neural network
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …

Precision farming is made possible by rapid advances in deep learning (DL) and the internet
of things (IoT) for agriculture, allowing farmers to upgrade their agriculture operations to …

Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …

While the use of industrial robots (UIR) promotes economic growth, it inevitably also has an
impact on the ecological environment. This research explores the relationship between UIR …

Weeds are amongst the most impacting abiotic factors in agriculture, causing important yield
loss worldwide. Integrated Weed Management coupled with the use of Unmanned Aerial …

Abstract The use of Artificial Intelligence (AI) in agriculture is expected to yield advantages
such as savings in production resources, labor costs, and working hours as well as a …