Results 261 to 270 of about 23,188,527 (297)

Integrating feature selection and explainable CNN for identification and classification of pests and beneficial insects. [PDF]

Sci Rep
Deb N, Rahman T, Moniruzzaman M, Bin Obadi AS, Jizat NM, Al-Bawri SS, Rahman AAM.   +6 more
europepmc   +1 more source

Overwintering Ecology and Novel Trapping Strategies for Sustainable Management of the Common Pistachio Psyllid (<i>Agonoscena pistaciae</i>) in Pistachio Orchards. [PDF]

Insects
Laz B.
europepmc   +1 more source

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SWOT and PEST analysis in tourism management in Bintan Regency

Indonesian Tourism Journal
The Tourism Program Bintan Regency aims to develop and enhance the region's tourist attractions, destinations, and creative economy. The program focuses on developing and managing tourist attractions, monitoring and evaluating their management, and ...
A. Muzwardi, Gulmok Simbolon
semanticscholar   +1 more source

Integrated Analysis of Machine Learning and Deep Learning in Chili Pest and Disease Identification.

The Journal of the Science of Food and Agriculture, 2020
BACKGROUND Chili is one of the most important and high-value vegetable crops worldwide. However, pest and disease infections are among the main limiting factors in chili cultivation. These diseases cannot be eradicated but can be handled and monitored to
Nurul Nabilah Ahmad Loti, Mohamad Roff Mohd Noor, Siow-Wee Chang   +2 more
semanticscholar   +1 more source

E-Government in Singapore - A SWOT and PEST Analysis

Asia Pacific Social Science Review, 2008
This paper aims to review and evaluate the vision, the objectives and the strategic framework of e-Government in Singapore. Rapidity, Reliability, Efficiency, Cost-effectiveness, Customer-orientation and Accessibility are the main guidelines for the ...
Huong Ha, K. Coghill
semanticscholar   +1 more source

Beyond the present: How climate change is relevant to pest risk analysis

EPPO Bulletin
Climate change is widely recognized as a critical global challenge with far‐reaching consequences. It affects pest species by altering their population dynamics, actual and potential distribution areas, as well as interactions with their hosts and ...
A. Szyniszewska, A. Akrivou, N. Björklund, J. Boberg, C. Bradshaw, M. Damus, C. Gardi, Anca M. Hanea, Jessica M. Kriticos, R. Maggini, D. L. Musolin, A. MacLeod   +11 more
semanticscholar   +1 more source

Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions

Frontiers in Plant Science
Plant diseases and pests pose significant threats to crop yield and quality, prompting the exploration of digital image processing techniques for their detection.
Muhammad Shoaib, Abolghasem Sadeghi-Niaraki, Farman Ali, Irfan Hussain, Shah Khalid   +4 more
semanticscholar   +1 more source