Intelligent agriculture is critical for guiding agricultural production and enhancing efficiency
through early disease diagnosis, yield estimation, automatic harvest, and postharvest …

Background Detection and counting of wheat heads are of crucial importance in the field of
plant science, as they can be used for crop field management, yield prediction, and …

Deep learning is increasingly popular for precise plant detection and counting in computer
vision applications. Despite the rising cross-disciplinary research in this field, an important …

Timely fire alarms are crucial as they can save lives and avoid major economic losses.
However, due to the complexity of the structure, the current mainstream DETR-based fire …

Detection and counting of wheat heads are crucial for wheat yield estimation. To address the
issues of overlapping and small volumes of wheat heads on complex backgrounds, this …

Wheat is a crucial crop worldwide, and accurate detection and counting of wheat spikes are
vital for yield estimation and breeding. However, these tasks are daunting in complex field …

Rice panicle density is one of the essential bases for the automatic speed regulation of
unmanned harvesters, making density detection crucial for intelligent upgrades. Currently …

Wheat ear detection is an indispensable step in wheat field yield estimation and is crucial for
achieving scientific field management. However, wheat ears in the field vary in shape …

The storage environment can significantly impact paddy quality, which is vital to human
health. Changes in storage can cause growth of fungi that affects grain quality. This study …

The accurate identification of wheat heads is critical for assessing production and managing
agricultural fields effectively. One major challenge lies in detecting overlapping and small …