Results 31 to 40 of about 137,483 (300)
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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TreeVibes: Modern Tools for Global Monitoring of Trees for Borers
Smart Cities, 2021 Is there a wood-feeding insect inside a tree or wooden structure? We investigate several ways of how deep learning approaches can massively scan recordings of vibrations stemming from probed trees to infer their infestation state with wood-boring insects
Iraklis Rigakis +4 more
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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
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A Convolutional Neural Network Algorithm for Pest Detection Using GoogleNet
AgriEngineering, 2023 The primary strategy for mitigating lost productivity entails promptly, accurately, and efficiently detecting plant pests. Although detection by humans can be useful in detecting certain pests, it is often slower compared to automated methods, such as ...
Intan Nurma Yulita +3 more
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Scientific Reports, 2017 Gold nanoparticles (AuNPs) aggregation-based colorimetric biosensing remains a challenge for bacteria due to their large size. Here we propose a novel colorimetric biosensor for rapid detection of Escherichia coli O157:H7 (E.
Xiahong Xu +10 more
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Drones: Innovative Technology for Use in Precision Pest Management. [PDF]
, 2020 Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early outbreak detection and treatment application are inherent to effective pest management, allowing management decisions to be implemented before pests are well ...
de Lange, Elvira S +3 more
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Journal of FungiLarch shoot blight, caused by Neofusicoccum laricinum, threatens global larch resources, while conventional chemical control is constrained by pollution and resistance.
Shuang Zhang +8 more
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Evaluation on the Efficacy of Farrerol in Inhibiting Shoot Blight of Larch (Neofusicoccum laricinum)
PlantsNeofusicoccum laricinum is the causal agent of larch shoot blight, a fungal disease affecting several species of larch. It causes severe damage, including stunting and mortality.
Evaristo A. Bruda +6 more
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Small Object Detection Algorithm for Agricultural Pest Images in Field Environments [PDF]
Jisuanji gongchengIntelligent pest detection is an essential application of target detection technology in the agricultural field. This detection method effectively improves the efficiency and reliability of pest detection and reporting work and ensures crop yield and ...
Xinlu JIANG, Tianen CHEN, Cong WANG, Chunjiang ZHAO
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