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 …

The digital era is reshaping 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 …

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 …

Hyperspectral remote sensors are emerging as valuable technology for identifying weeds in
field crops. These sensors can acquire high-resolution images, both spatially and spectrally …

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 …

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 …

Weedy rice is a notorious weed in the rice agroecosystem. Its infestation has caused
significant economic loss in many rice-production countries, including Malaysia. In Malaysia …

This study assessed the impact of phytoremediation on reducing the residual concentration
of metolachlor in soil treated with doses of 530.7 and 1061.4 g/ha and its effect on microbial …