Sustainable crop and weed management in the era of the EU Green Deal: A survival guide

A Tataridas, P Kanatas, A Chatzigeorgiou… - Agronomy, 2022 - mdpi.com
Agricultural systems in the EU have become more vulnerable and less sustainable due to an
overreliance on herbicides and the tremendous increase in herbicide-resistant weeds. The …

Artificial intelligence tools and techniques to combat herbicide resistant weeds—A review

S Ghatrehsamani, G Jha, W Dutta, F Molaei, F Nazrul… - Sustainability, 2023 - mdpi.com
The excessive consumption of herbicides has gradually led to the herbicide resistance weed
phenomenon. Managing herbicide resistance weeds can only be explicated by applying …

[HTML][HTML] Weed detection in soybean crops using custom lightweight deep learning models

N Razfar, J True, R Bassiouny, V Venkatesh… - Journal of Agriculture …, 2022 - Elsevier
Weed detection has become an integral part of precision farming that leverages the IoT
framework. Weeds have become responsible for 45% of the agriculture industry's crop …

[HTML][HTML] Effect of varying training epochs of a faster region-based convolutional neural network on the accuracy of an automatic weed classification scheme

OG Ajayi, J Ashi - Smart Agricultural Technology, 2023 - Elsevier
Site-specific weed detection and management is a crucial approach for crop production
management and herbicide contamination mitigation in precision agriculture. With the …

High-throughput field crop phenotyping: current status and challenges

S Ninomiya - Breeding Science, 2022 - jstage.jst.go.jp
In contrast to the rapid advances made in plant genotyping, plant phenotyping is considered
a bottleneck in plant science. This has promoted high-throughput plant phenotyping (HTP) …

From Nucleotides to Satellite Imagery: Approaches to Identify and Manage the Invasive Pathogen Xylella fastidiosa and Its Insect Vectors in Europe

F Raffini, G Bertorelle, R Biello, G D'Urso, D Russo… - Sustainability, 2020 - mdpi.com
Biological invasions represent some of the most severe threats to local communities and
ecosystems. Among invasive species, the vector-borne pathogen Xylella fastidiosa is …

The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: A review

N Sulaiman, NN Che'Ya, MH Mohd Roslim… - Applied Sciences, 2022 - mdpi.com
Weeds are found on every cropland across the world. Weeds compete for light, water, and
nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and …

[HTML][HTML] Hyperspectral imaging detects biological stress of wheat for early diagnosis of crown rot disease

Y Xie, D Plett, M Evans, T Garrard, M Butt… - … and Electronics in …, 2024 - Elsevier
Crown rot, caused by a stubble-soil fungal pathogen, threatens wheat production, leading to
significant yield losses. The challenge lies in the absence of early visible symptoms for …

Improved weed mapping in corn fields by combining UAV‐based spectral, textural, structural, and thermal measurements

B Xu, R Meng, G Chen, L Liang, Z Lv… - Pest Management …, 2023 - Wiley Online Library
BACKGROUND Spatial‐explicit weed information is critical for controlling weed infestation
and reducing corn yield losses. The development of unmanned aerial vehicle (UAV)‐based …

Early detection of broad-leaved and grass weeds in wide row crops using artificial neural networks and UAV imagery

J Torres-Sánchez, FJ Mesas-Carrascosa… - Agronomy, 2021 - mdpi.com
Significant advances in weed mapping from unmanned aerial platforms have been achieved
in recent years. The detection of weed location has made possible the generation of site …