During the last decades, researchers have developed novel computing methods to help
viticulturists solve their problems, primarily those linked to yield estimation of their crops …

The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …

An accurate image retrieval technique is required due to the rapidly increasing number of
images. It is important to implement image annotation techniques that are fast, simple, and …

Plant phenotyping is the study of complex plant traits to evaluate its status depending on the
life-cycle conditions. Often, these evaluations are carried out by human operators, and the …

The current deep-learning-based tomato target detection algorithm has many parameters; it
has drawbacks of large computation, long time consumption, and reliance on high …

The efficient detection of the flat jujube in a complex natural environment has great
significance in intelligent agricultural operations. Aiming at the problems of the low detection …

A vehicle detection algorithm is of great significance for automatic driving technology.
Current vehicle detection algorithms suffer from the complex structure, high configuration of …

Precise canopy management is critical in vineyards for premium wine production because
maximum crop load does not guarantee the best economic return for wine producers. The …

Strawberry powdery mildew (PM) is the main disease affecting the yield and quality of
strawberries in recent years, which always appears on the back side of leaves in the early …

There is a great demand for dragon fruit in China and Southeast Asia. Manual picking of
dragon fruit requires a lot of labor. It is imperative to study the dragon fruit-picking robot. The …