Deep learning (DL) based instance segmentation has attracted a growing research interest
in the scientific community to tackle precision agriculture problems over the past few years …

This research paper explores a comprehensive approach to advancing capsicum harvesting
by integrating cutting-edge technologies. The study addresses key objectives, including …

The application of Deep Learning models in fruit analysis has garnered significant attention
due to its potential to revolutionize the agricultural sector and enhance crop monitoring. This …

This study presents an approach to address the challenges of recognizing the maturity stage
and counting sweet peppers of varying colors (green, yellow, orange, and red) within …

Accurate positioning of kiwifruit in the field growth environment is crucial for kiwifruit
harvesting robots to carry out precise and non-destructive harvesting. To achieve effective …

Accurate detection of object fruits is essential for optimizing picking efficiency and predicting
fruit yields. However, detecting early-stage ripening or green fruits, especially in complex …

Demand and market value for pennywort largely depend on the quality of the leaves, which
can be affected by various ambient environment or fertigation variables during cultivation …

Gas explosions threaten the safety of underground coal mining. Mining companies use
drilling rigs to extract the gas to reduce its concentration. Drainage depth is a key indicator of …

For crops that need to be harvested in batches based on maturity, the harvesting operation
needs to select individual fruits that have developed and matured for harvest. Therefore, The …

Due to the short time, high labor intensity and high workload of fruit and vegetable
harvesting, robotic harvesting instead of manual operations is the future. The accuracy of …