Background Weed recognition is key for automatic weeding, which is a challenging problem. Weed recognition is mainly based on different features of crop images. The extracted image …
In this paper we address the problem of recognising the Broad-leaved dock (Rumex obtusifolius L.) in grasslands from high-resolution 2D images. We discuss and present the …
H Zhang, D Cao, W Zhou, K Currie - Precision Agriculture, 2024 - Springer
The success of weed control is critical for our food security. Non-chemical weed control is a promising technique in sustainable agriculture to ensure the food security. In this review …
Computer vision can lead toward more sustainable agricultural production by enabling robotic precision agriculture. Vision‐equipped robots are being deployed in the fields to take …
Weed control in pasture is a challenging problem that can be expensive and environmentally unfriendly. This paper proposes a novel method for recognition of broad …
Rumex obtusifolius Linnaeus (R. obtu. L.) is one of the vital broad-leaved weeds in grassland that needs removal. It affects dairy products and reduces their quality. Hand …
S Kamal, VG Shende, K Swaroopa… - Wireless …, 2022 - Wiley Online Library
The main purpose of the work is to evaluate the deep machine learning algorithms used for the distinction between weeds and crop plants using the open database of images of the …
H Obasekore, M Fanni, SM Ahmed, V Parque, BY Kang - Sensors, 2023 - mdpi.com
Accurately detecting early developmental stages of insect pests (larvae) from off-the-shelf stereo camera sensor data using deep learning holds several benefits for farmers, from …
Highlights•Crop/weed classification algorithm is proposed using a BoVW based on SIFT or SURF.•The highest classification accuracy obtained was 96.5% with zero false …