Results 21 to 30 of about 3,675,679 (239)

Interface between pest risk science and policy : the EPPO perspective [PDF]

open access: yes, 2013
The European and Mediterranean Plant Protection Organisation (EPPO) is an intergovernmental organization responsible for cooperation in plant protection in the European and Mediterranean region.
Baker,Richard   +13 more
core   +1 more source

A Lightweight Crop Pest Detection Algorithm Based on Improved Yolov5s

open access: yes, 2023
The real-time target detection of crop pests can help detect and control pests in time. In this study, we built a lightweight agricultural pest identification method based on modified Yolov5s and reconstructed the original backbone network in tandem with
Jun Wang, Maocheng Zhao, Jing Zhang
core   +1 more source

A Multimodal Approach for Advanced Pest Detection and Classification

open access: yesCoRR, 2023
This paper presents a novel multi modal deep learning framework for enhanced agricultural pest detection, combining tiny-BERT's natural language processing with R-CNN and ResNet-18's image processing. Addressing limitations of traditional CNN-based visual methods, this approach integrates textual context for more accurate pest identification. The R-CNN
Jinli Duan, Haoyu Ding, Sung Kim
openaire   +2 more sources

CCMT: Dataset for crop pest and disease detection

open access: yesData in Brief, 2023
La Inteligencia Artificial (IA) ha sido evidente en el sector agrícola recientemente. El objetivo de la IA en la agricultura es controlar las plagas/enfermedades de los cultivos, reducir los costos y mejorar el rendimiento de los cultivos. En los países en desarrollo, el sector agrícola enfrenta numerosos desafíos en forma de brecha de conocimiento ...
Patrick Kwabena Mensah   +16 more
openaire   +3 more sources

Exploiting pH-Regulated Dimer-Tetramer Transformation of Concanavalin A to Develop Colorimetric Biosensing of Bacteria

open access: yesScientific 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
doaj   +1 more source

Research on the identification and detection of field pests in the complex background based on the rotation detection algorithm

open access: yesFrontiers in Plant Science, 2022
As a large agricultural and population country, China’s annual demand for food is significant. The crop yield will be affected by various natural disasters every year, and one of the most important factors affecting crops is the impact of insect pests ...
Wei Zhang   +7 more
doaj   +1 more source

Pest detection and identification using Optimised Neural Network Techniques

open access: yes, 2021
Plant pest detection and identification is a major challenge in the field of agriculture since detection and classification is much more difficult than common object detection because of the apparent differences between pest species.
Madhuri Devi Chodey , Dr.Noorullah Shariff C
core   +1 more source

Matching methods to produce maps for pest risk analysis to resources [PDF]

open access: yes, 2013
Decision support systems (DSSs) for pest risk mapping are invaluable for guiding pest risk analysts seeking to add maps to pest risk analyses (PRAs). Maps can help identify the area of potential establishment, the area at highest risk and the endangered ...
Baker, Richard   +9 more
core   +1 more source

The Mechanism of Fraxetin as a Sustainable Fungicide for Larch Shoot Blight: Lipid Peroxidation and Oxidative Stress in Neofusicoccum laricinum

open access: yesJournal of Fungi
Larch shoot blight, caused by Neofusicoccum laricinum, threatens global larch resources, while conventional chemical control is constrained by pollution and resistance.
Shuang Zhang   +8 more
doaj   +1 more source

Small Object Detection Algorithm for Agricultural Pest Images in Field Environments [PDF]

open access: yesJisuanji gongcheng
Intelligent 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
doaj   +1 more source

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