The global food systems face significant challenges driven by population growth, climate
change, geopolitical conflicts, crises, and evolving consumer preferences. Intending to …

Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

Weeds compete with crops for water and nutrients and can adversely affect crop growth and
yield, so it is important to research effective weed control methods. This paper provides an …

The digital era is resha** agricultural practices, opening new avenues for sustainable
growth, and proving indispensable in global challenges like food security and environmental …

Agriculture is the backbone of many economies across the globe. More than one billion
people today make living from agriculture [1]. Agricultural development is among the most …

This study examines the transformative impact of cultivating high-quality farmers on the
green production efficiency of agricultural practices in Henan Province, China. Utilizing a …

With the continuous growth of the global population and the increasing demand for crop
yield, enhancing crop productivity has emerged as a crucial research objective on a global …

Amid the swift evolution of advanced technologies such as autonomous robotics, edge
computing, and the Internet of Things, Intelligent Agriculture Management Systems (IAMS) …

Agroforestry (AF) aims to produce more ecologically diversified and socially beneficial
goods from the land than traditional farming. Capacity building on AF will aid in the …

The cultivation of sugarcane (Saccharum officinarum L.) in the face of climate change
requires robust strategies for managing pests, diseases, and weeds. This systematic review …