[HTML][HTML] Deep convolutional neural networks for weeds and crops discrimination from UAS imagery

L Hashemi-Beni, A Gebrehiwot… - Frontiers in Remote …, 2022 - frontiersin.org
Weeds are among the significant factors that could harm crop yield by invading crops and
smother pastures, and significantly decrease the quality of the harvested crops. Herbicides …

Semi-supervised learning and attention mechanism for weed detection in wheat

T Liu, X Jin, L Zhang, J Wang, Y Chen, C Hu, J Yu - Crop Protection, 2023 - Elsevier
Abstract Machine vision-based precision herbicide application in wheat (Triticum aestivum
L.) can substantially reduce herbicide input. However, detecting newly emerged weeds in …

[HTML][HTML] How can unmanned aerial vehicles be used for detecting weeds in agricultural fields?

NA Mohidem, NN Che'Ya, AS Juraimi, WF Fazlil Ilahi… - Agriculture, 2021 - mdpi.com
Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield
loss worldwide. Remote sensing can detect and map the presence of weeds in various …

Performance comparison of weed detection algorithms

T Sarvini, T Sneha, SG GS, S Sushmitha… - 2019 International …, 2019 - ieeexplore.ieee.org
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 …

[HTML][HTML] Methods for detecting and classifying weeds, diseases and fruits using AI to improve the sustainability of agricultural crops: a review

A Corceiro, K Alibabaei, E Assunção, PD Gaspar… - Processes, 2023 - mdpi.com
The rapid growth of the world's population has put significant pressure on agriculture to meet
the increasing demand for food. In this context, agriculture faces multiple challenges, one of …

[HTML][HTML] Weed detection in rice fields using remote sensing technique: A review

R Rosle, NN Che'Ya, Y Ang, F Rahmat, A Wayayok… - Applied sciences, 2021 - mdpi.com
This paper reviewed the weed problems in agriculture and how remote sensing techniques
can detect weeds in rice fields. The comparison of weed detection between traditional …

[HTML][HTML] Deep Learning for Detecting and Classifying the Growth Stages of Consolida regalis Weeds on Fields

AM Almalky, KR Ahmed - Agronomy, 2023 - mdpi.com
Due to the massive surge in the world population, the agriculture cycle expansion is
necessary to accommodate the anticipated demand. However, this expansion is challenged …

Deep convolutional neural network architecture for plant seedling classification

NC Kundur, PB Mallikarjuna - Engineering, Technology & Applied …, 2022 - etasr.com
Weed control is essential in agriculture since weeds reduce yields, increase production cost,
impede harvesting, and degrade product quality. As a result, it is indeed critical to recognize …

[HTML][HTML] Detection of weeds growing in Alfalfa using convolutional neural networks

J Yang, Y Wang, Y Chen, J Yu - Agronomy, 2022 - mdpi.com
Alfalfa (Medicago sativa L.) is used as a high-nutrient feed for animals. Weeds are a
significant challenge that affects alfalfa production. Although weeds are unevenly …

[HTML][HTML] UAV-based weed detection in Chinese cabbage using deep learning

P Ong, KS Teo, CK Sia - Smart Agricultural Technology, 2023 - Elsevier
Weeds are unwanted plants on agricultural soil. They always competing for sunlight,
nutrient, space and water with economic crops. Uncontrolled weed growth can cause both …