In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Deep learning-based visual object detection is a fundamental aspect of computer vision.
These models not only locate and classify multiple objects within an image, but they also …

Crop counting is a crucial step in crop yield estimation. By counting, crop growth status can
be accurately detected and adjusted, improving crop yield and quality. In recent years, with …

The farming industry is facing the major challenge of intensive and inefficient harvesting
labors. Thus, an efficient and automated fruit harvesting system is required. In this study …

Early production warnings are usually labor-intensive, even with remote sensing techniques
in highly intensive but fragmented growing areas with various phenological stages. This …

Fusarium head blight (FHB) is one of the most common and destructive infections in wheat,
posing a serious threat to food security and human health. Real-time detection and severity …

Crop emergence estimation at early crop growth stages is becoming increasingly important
for the long-term sustainability of natural resources. It helps farmers and agricultural …

Background: Recently, there has been a growing demand for the mechanization of flower
harvesting to enhance harvesting efficiency. Therefore, the purpose of the current research …

Monitoring the number of cotton flowers can provide important information for breeders to
assess the flowering time and the productivity of genotypes because flowering marks the …