Results 21 to 30 of about 34,834 (234)

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

Frontiers 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, Wei Zhang, Xulu Xia, Guotao Zhou, Jianming Du, Tianjiao Chen, Zhengyong Zhang, Xiangyang Ma   +7 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

Edge Computing for Vision-Based, Urban-Insects Traps in the Context of Smart Cities

Sensors, 2022
Our aim is to promote the widespread use of electronic insect traps that report captured pests to a human-controlled agency. This work reports on edge-computing as applied to camera-based insect traps.
Ioannis Saradopoulos, Ilyas Potamitis, Stavros Ntalampiras, Antonios I. Konstantaras, Emmanuel N. Antonidakis   +4 more
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TSD-Truncated Structurally Aware Distance for Small Pest Object Detection

Sensors, 2022
As deep learning has been successfully applied in various domains, it has recently received considerable research attention for decades, making it possible to efficiently and intelligently detect crop pests. Nevertheless, the detection of pest objects is
Xiaowen Huang, Jun Dong, Zhijia Zhu, Dong Ma, Fan Ma, Luhong Lang   +5 more
doaj   +1 more source

Cross‐class pest and disease vegetation detection based on small sample registration

IET Image Processing, 2023
This paper introduces few‐shot anomaly detection (FSAD), a practical and less anomaly detection (AD) method, which can provide a limited number of normal images for each class during training.
Liu Jiayao, Wang Linfeng, Wang Yunsheng, An MingMing, Jiang Wenfei, Xu Shipu   +5 more
doaj   +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
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Evaluation on the Efficacy of Farrerol in Inhibiting Shoot Blight of Larch (Neofusicoccum laricinum)

Plants
Neofusicoccum 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, Rui Xia, Ruizhi Zhang, Haoru Wang, Qi Yu, Mengyao Hu, Feng Wang   +6 more
doaj   +1 more source

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

From Resistance Mechanism to Green Application: Discovery of Rutaevin as a Key Phytoalexin in Larch and Cross-Species Resource Optimization

Plants
Neofusicoccum laricinum, the pathogen responsible for larch shoot blight, is a hemibiotrophic pathogen. A hypersensitive reaction of plants does not inhibit the growth of the pathogen, while phytoalexin is an antifungal compound secreted by plants, which
Ruizhi Zhang, Shuang Zhang, Rui Xia, Xinyan Chen, Jiarui Chen, Feng Wang, Danlei Li   +6 more
doaj   +1 more source

Pest Detection using Image Processing

International Journal of Innovative Technology and Exploring Engineering, 2019
Agriculture is one of the most significant economic activity. They are many ways that leads to the low productivity of agriculture, but the best method to protect the crop is by detecting the diseases in the early stage. In most of the cases diseases are caused by pest, insects, pathogens which reduce the productivity of the crop at the large scale. If
Shilpa Itnal*, Mathena Akhila, Syed Sha Noorulla Khadri, Vanukuri Meher Sreemaiee   +3 more
openaire   +1 more source