Fruit detection and localization are essential for future agronomic management of fruit crops
such as yield prediction, yield map** and automated harvesting. However, to perform …

Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …

In the complex environment of an orchard, changes in illumination, leaf occlusion, and fruit
overlap make it challenging for mobile picking robots to detect and locate oil-seed camellia …

The apple target recognition algorithm is one of the core technologies of the apple picking
robot. However, most of the existing apple detection algorithms cannot distinguish between …

For the purpose of monitoring apple fruits effectively throughout the entire growth period in
smart orchards. A lightweight model named YOLOv8n-ShuffleNetv2-Ghost-SE was …

Highlights•A method for rapid and accurate apple fruitlet detection before fruit thinning is
proposed.•The method is based on a state-of-the-art deep learning approach.•The model …

Abstract" Digital" agriculture is rapidly affecting the value of agricultural output. Robotic
picking of the ripe agricultural product enables accurate and rapid picking, making …

Real-time detection of agricultural growth stages is one of the key steps of estimating yield
and intelligent spraying in commercial orchards. However, due to considerable degree of …

Accurate count of fruits is important for producers to make adequate decisions in production
management. Although some algorithms based on machine vision have been developed to …

Fruit load estimation is an essential step toward Precision Agriculture (PA) as it helps
growers more accurately predict market planning, worker planning, purchase of appropriate …