The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …

Machine vision technology has dramatically improved the efficiency, speed, and quality of
fruit-picking robots in complex environments. Target recognition technology for fruit is an …

A reliable and accurate diagnosis and identification system is required to prevent and
manage tea leaf diseases. Tea leaf diseases are detected manually, increasing time and …

Robots must first detect the number of banana bunches when making judgements on sterile
bud removal and estimating weight for harvest in the field environment. Banana bunches are …

Drone detection is a significant research topic due to the potential security threats posed by
the misuse of drones in both civilian and military domains. However, traditional drone …

The shortage of agricultural labourers worldwide has left many groups unharvested and
wasted, which motivates researchers worldwide to research fruit harvesting robots …

Tea bud target detection is essential for mechanized selective harvesting. To address the
challenges of low detection precision caused by the complex backgrounds of tea leaves, this …

In the dynamic and unstructured environment where horticultural crops grow, obstacles and
interference frequently occur but are rarely addressed, which poses significant challenges …

Camellia oleifera is an oilseed crop with high economic value. The short optimum harvest
period and high labour costs of C. oleifera harvesting have prompted research on intelligent …

Due to the presence of numerous surface defects, the inadequate contrast between
defective and non-defective regions, and the resemblance between noise and subtle …