Results 11 to 20 of about 34,834 (234)
GAN-based semi-automated augmentation online tool for agricultural pest detection: A case study on whiteflies [PDF]
Frontiers in Plant Science, 2022 Deep neural networks can be used to diagnose and detect plant diseases, helping to avoid the plant health-related crop production losses ranging from 20 to 50% annually.
Christophe Karam +4 more
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Antioxidant processes involving epicatechin decreased symptoms of pine wilt disease
Frontiers in Plant Science, 2022 Since the pine wood nematode (PWN, Bursaphelenchus xylophilus) invasion of Northeast China, both symptomatic and asymptomatic PWN carriers have been found. Asymptomatic PWN carriers, which are more dangerous than symptomatic carriers, constitute a source
Ruizhi Zhang +5 more
doaj +1 more source
CRISPR-based diagnostics detects invasive insect pests
Molecular Ecology Resources, 2023 AbstractRapid identification of organisms is essential across many biological and medical disciplines, from understanding basic ecosystem processes and how organisms respond to environmental change, to disease diagnosis and detection of invasive pests. CRISPR-based diagnostics offers a novel and rapid alternative to other identification methods and can
Pathour R. Shashank +10 more
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Alternative Tissue Sampling for Improved Detection of Candidatus Liberibacter asiaticus
Plants, 2023 Early detection and prompt response are key factors in the eradication of ‘huanglongbing’ (HLB) in California. Currently, qPCR testing of leaf tissue guides the removal of infected trees.
Subhas Hajeri +4 more
doaj +1 more source
Frontiers in Plant Science, 2022 An accurate and robust pest detection and recognition scheme is an important step to enable the high quality and yield of agricultural products according to integrated pest management (IPM).
Lin Jiao +12 more
doaj +1 more source
Frontiers in Plant Science, 2022 Pest disaster severely reduces crop yield and recognizing them remains a challenging research topic. Existing methods have not fully considered the pest disaster characteristics including object distribution and position requirement, leading to ...
Yue Teng +6 more
doaj +1 more source
Engineering Proceedings, 2023 Around the globe, agriculture has grown to a point where it is now a financially feasible way to produce more sophisticated cultivation methods. Throughout the long tradition of agriculture, this represents a pivotal moment.
Rajesh Kumar Dhanaraj, Md. Akkas Ali
doaj +1 more source
Pest detection dogs for wood boring longhorn beetles [PDF]
Scientific Reports, 2021 AbstractInvasive alien species are increasing due to globalization. Their spread has resulted in global economic losses. Asian [Anoplophora glabripennis(Motschulsky)] (ALB) and citrus [A. chinensis(Forster)] (CLB) longhorn beetles are two introduced wood borers which contribute to these economic losses e.g. the destruction of tree plantations.
Charlotte Holmstad Arnesen, Frank Rosell
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Pest Detection and Obliteration Based Robotic System
, 2022 Pest infestation is one of the major challenges by farmers. If these pests are not controlled, they can cause threat to harvest, thus generating a huge loss for the farmers. Thus, pesticides have to be supplied to plants. However, extensive usage of pesticide can cause adverse effects on a human s life when the harvest enters the food chain.
J S, Vandana Shree +3 more
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A review of pest surveillance techniques for detecting quarantine pests in
EPPO Bulletin, 2012 This paper provides reviews of the most commonly used methods to detect plant pests belonging to groups of invasive organisms with high economic relevance, including Coleoptera (bark beetles, flathead borers, leaf beetles, longhorn beetles, weevils), Diptera (cone and seed flies, fruit flies), Homoptera (aphids, leafhoppers and psyllids, whiteflies ...
Augustin S. +12 more
openaire +6 more sources