Operational crop monitoring applications, including crop type mapping, condition
monitoring, and yield estimation, would benefit from the ability to robustly detect and map …

Microbial biocontrol agents are a promising option for reducing the use of chemicals in
agriculture. Due to their characteristics as living organisms, their deployment is more …

CONTEXT The transition to digital agriculture is likely to lead to systemic changes that will
affect production, consumption, governance, and the wider environment of agricultural …

There is an urgent need to develop sustainable agricultural land use schemes. Intensive
crop production has induced increased greenhouse gas emissions and enhanced nutrient …

Predicting crop yield using deep learning (DL) and remote sensing is a promising technique
in agriculture. In smallholder agriculture (< 2 ha), where 84% of the farms operate globally, it …

There is urgent need for developing sustainable agricultural land use schemes. On the one
side, climate change is expected to increase drought risk as well as the frequency of …

Agroforestry Systems (AFS) integrate agricultural and forest production, providing ecosystem
environmental services. They are considered important tools for addressing problems …

Abstract The integration of Artificial Intelligence (AI) in precision agriculture represents a
transformative advancement in optimizing crop management and yield. This narrative article …

The advancement of technology has led to the introduction of smart technologies in various
sectors, including farming, forming what is now known as smart farming. Smart farming …

Predicting crop yield using deep learning (DL) and remote sensing is a promising technique
in agriculture. In smallholder agriculture (< 2 ha), where 84% of the farms operate globally, it …