With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

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 …

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

Abstract The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has
assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various …

The detection of wheat heads in plant images is an important task for estimating pertinent
wheat traits including head population density and head characteristics such as health, size …

Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …

The automated detection and counting of fruit in tree canopies is a key component of yield
estimation systems, which are indispensable for the precision management of modern …

Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply
chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all …

Weather disturbances, difficult backgrounds, the shading of fruit and foliage, and other
elements can significantly affect automated yield estimation and picking in small target apple …

Digital Twins play a crucial role in bridging the physical and virtual worlds. Given the
dynamic and evolving characteristics of the physical world, a huge volume of data …