Controlled environment agriculture (CEA) is an unconventional production system that is
resource efficient, uses less space, and produces higher yields. Deep learning (DL) has …

One of the main initiatives to increase the profit, production, and quality of greenhouse
horticulture, as well as its sustainability, is the use of robots. This paper focusses on the state …

A tomato automatic detection method based on an improved YOLOv8s model is proposed to
address the low automation level in tomato harvesting in agriculture. The proposed method …

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 …

This paper presents the development of an autonomous harvesting robot system for tomato,
a representative crop cultivated in the facility horticulture smart farm. The automated …

Dragon fruit is one of the most popular fruits in China and Southeast Asia. It, however, is
mainly picked manually, imposing high labor intensity on farmers. The hard branches and …

With the escalating global challenges of food security and resource sustainability, innovative
solutions like deep learning and computer vision are transforming agricultural practices by …

Accurate detection of tomato maturity is significant in automatic tomato picking. Although
there are many detection methods, they are often sensitive to occlusion, overlap, uneven …

The maturity level of tomato is a key factor of tomato picking, which directly determines the
transportation distance, storage time, and market freshness of postharvest tomato. In view of …

In recent years, the elderly population has increased, leading to a labor shortage and the
increasing cost of training experienced labor. Owing to the continuous optimization of …