Accurate classification of weed seedlings is a key challenge to address in order to advance precision weed management and reduce pesticide use. In this study, an original image dataset, the Weed ...

You can download the source code including the models from the latest release. Note: The currently linked Yolov7 variant is not compatible with half precision ...

This work presents an implementation of YOLOv12 using native PyTorch Scaled Dot-Product Attention (SDPA) as an alternative to Flash Attention for agricultural object detection. Our approach achieves ...

We present a novel method for soybean [Glycine max (L.) Merr.] yield estimation leveraging high-throughput seed counting via computer vision and deep learning techniques. Traditional methods for ...

Abstract: Weed control is essential in agricultural productivity as weeds act as a pest to crops. The conventional methods of weed removal are time-consuming and require more manual labour work. Hence ...

Weed suppression is one of the greatest factors affecting crop production. The weeds could compete with crops for water, light, fertilizer, growth space, other nutrients, etc., resulting in reduction ...

The use of a fallow phase is an important tool for maximizing crop yield potential in moisture limited agricultural environments, with a focus on removing weeds to optimize fallow efficiency. Repeated ...

Customs and police officers have busted a gang smuggling in marijuana from the U.S. to Ho Chi Minh City. On Sunday, customs officers at Tan Son Nhat airport and drug police officers from the Ministry ...

Herbicide-resistant weeds are a major threat to the world’s food security and result in the loss of billions of dollars of income to crop producers. Penoxsulam, a member of the triazolopyrimidine ...