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

In agricultural image analysis, optimal model performance is keenly pursued for better
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …

Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …

Computer vision technologies have attracted significant interest in precision agriculture in
recent years. At the core of robotics and artificial intelligence, computer vision enables …

This paper describes the development trends and prospects of green-energy-based off-road
electric vehicles and robots in the agricultural sector. Today, the agriculture sector faces …

As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …

Evapotranspiration (ET) is a major component of the water cycle and agricultural water
balance. Estimation of water consumption over agricultural areas is important for agricultural …

Aerial inspection of agricultural regions can provide crucial information to safeguard from
numerous obstacles to efficient farming. Farmland anomalies such as standing water, weed …

The harvesting operation is a recurring task in the production of any crop, thus making it an
excellent candidate for automation. In protected horticulture, one of the crops with high …

In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …