[HTML][HTML] Object-level benchmark for deep learning-based detection and classification of weed species

ASMM Hasan, D Diepeveen, H Laga, MGK Jones… - Crop Protection, 2024 - Elsevier
Weeds can decrease yields and the quality of crops. Detection, localisation, and
classification of weeds in crops are crucial for developing efficient weed control and …

Improving U-net network for semantic segmentation of corns and weeds during corn seedling stage in field

J Cui, F Tan, N Bai, Y Fu - Frontiers in Plant Science, 2024 - frontiersin.org
Introduction Weeds are one of the main factors affecting crop growth, making weed control a
pressing global problem. In recent years, interest in intelligent mechanical weed-control …

[HTML][HTML] Medicinal and poisonous plants classification from visual characteristics of leaves using computer vision and deep neural networks

R Azadnia, F Noei-Khodabadi, A Moloudzadeh… - Ecological …, 2024 - Elsevier
Poisonous plants are the third largest category of poisons known globally, which pose a risk
of poisoning and death to humans. Currently, the identification of medicinal and poisonous …

[PDF][PDF] Deep Learning Techniques for Green on

GWD from Imagery - 2024 - researchportal.murdoch.edu.au
Weed is a major problem faced by the agriculture and farming sector. Advanced imaging
and deep learning (DL) techniques have the potential to automate various tasks involved in …

[PDF][PDF] Accessible Real-Time Weed Detection and Segmentation with Deep Learning

M Hoffmann - researchgate.net
The agriculture industry is facing increasing challenges, including escalating demands and
productivity and challenging environmental conditions. The overarching goal of the project is …