Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

The integration of Artificial Intelligence (AI) tools and techniques has provided a significant
advance in drone technology. Besides the military applications, drones are being …

The yellowing morphologies of crops provide typical spectral characteristics for crop
identification. However, this feature was generally neglected by most existing vegetation …

Vegetables are an essential part of people's daily diet, and weeds can cause serious losses
in vegetable yield and quality. Intelligent weeding technology for vegetables will be one of …

Yield calculation is an important link in modern precision agriculture that is an effective
means to improve breeding efficiency and to adjust planting and marketing plans. With the …

Weed management is a significant challenge for agronomists, especially in highly dense
field environments. The study aims to develop a computer vision-based system for …

Effective weed control in wheat (Triticum aestivum L.) fields is crucial for optimizing
production and ensuring food security in semi-arid regions. The implementation of deep …

Precise robotic weed control plays an essential role in precision agriculture. It can help
significantly reduce the environmental impact of herbicides while reducing weed …

Weeds pose a significant threat to agricultural production, leading to substantial yield losses
and increased herbicide usage, with severe economic and environmental implications. This …

Weeds and crops engage in a relentless battle for the same resources, leading to potential
reductions in crop yields and increased agricultural costs. Traditional methods of weed …