Results 21 to 30 of about 2,965,168 (238)

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, Ilyas Potamitis, Nicolaos-Alexandros Tatlas, Stelios M. Potirakis, Stavros Ntalampiras   +4 more
doaj   +1 more source

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

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, Yuwei Yuan, Guixian Hu, Xiangyun Wang, Peipei Qi, Zhiwei Wang, Qiang Wang, Xinquan Wang, Yingchun Fu, Yanbin Li, Hua Yang   +10 more
doaj   +1 more source

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, Muhamad Farid Ridho Rambe, Asep Sholahuddin, Anton Satria Prabuwono   +3 more
doaj   +1 more source

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

, 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, Baker, Richard H. A., Brunel, Sarah, Sarah Brunel, Petter, Fran\ue7oise, Françoise Petter, Brunel,Sarah, Suffert,Muriel, Suffert, Muriel, Baker, Richard, Muriel Suffert, Petter, Françoise, Richard Baker, Petter,Françoise   +13 more
core   +1 more source

A Multimodal Approach for Advanced Pest Detection and Classification

CoRR, 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

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

Jisuanji 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

Improving detection probabilities for pests in stored grain [PDF]

Pest Management Science, 2010
AbstractBACKGROUND: The presence of insects in stored grain is a significant problem for grain farmers, bulk grain handlers and distributors worldwide. Inspection of bulk grain commodities is essential to detect pests and thereby to reduce the risk of their presence in exported goods. It has been well documented that insect pests cluster in response to
Elmouttie, David, Kiermeier, Andreas, Hamilton, Grant   +2 more
openaire   +3 more sources

CCMT: Dataset for crop pest and disease detection

Data 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, Vivian Akoto-Adjepong, Kwabena Adu, Mighty Abra Ayidzoe, Elvis Asare Bediako, Owusu Nyarko‐Boateng, Samuel Boateng, Esther Fobi Donkor, Faiza Umar Bawah, Nicodemus Songose Awarayi, Peter Nimbe, Isaac Kofi Nti, Muntala Abdulai, Remember Roger Adjei, Michael Opoku, Shamsudeen Abdulai, Fred Amu-Mensah   +16 more
openaire   +3 more sources

Feature Refinement Method Based on the Two-Stage Detection Framework for Similar Pest Detection in the Field

, 2023
Efficient pest identification and control is critical for ensuring food safety. Therefore, automatic detection of pests has high practical value for Integrated Pest Management (IPM).
Haiyun Liu, Tianjiao Chen, Guotao Zhou, Rujing Wang, Rui Li, Jie Zhang, Hongbo Chen, Jianming Du   +7 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

Journal 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, Ruizhi Zhang, Rui Xia, Xinyan Chen, Jiarui Chen, Yuchun Yang, Majid Mujtaba, Danlei Li, Feng Wang   +8 more
doaj   +1 more source