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QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE GRAPH.
- Source :
- Frontiers of Agricultural Science & Engineering; Jun2023, Vol. 10 Issue 2, p306-332, 27p
- Publication Year :
- 2023
-
Abstract
- To help in the prevention of large-scale loss of agricultural production caused by crop pests, a visual analysis was performed on the main research areas, key countries, organizational cooperation, citation sources and current trends in pest research by searching the literature of Web of Science database and using CiteSpace 5.8.R3 and VOSviewer 1.6.18 software. Additionally, the effects and mechanisms of natural products with anti-insect activity were summarized through visual analysis. According to the bibliometric analysis, keywords such as mortality (232 occurrences), natural enemy (232 occurrences) and spinosad (110 occurrences) were common, and insecticides and natural enemies of pests were the main methods for killing pests. However, pesticide use exhibits numerous limitations. Co-occurring terms in visualization analysis mainly included residue (193 occurrences), detection (153 occurrences), degradation (133 occurrences), recovery (103 occurrences), pyrethroid (97 occurrences) and pesticide residues (65 occurrences). Thus, pesticides cannot fundamentally solve food security; pesticides also pollute the environment and endanger human health. Therefore, green and efficient pesticides that can replace synthetic pesticides are urgently needed. Natural products have recently gained attention in Brazil, China, the USA and other countries because they are green and pollution-free, and new natural pesticides have been developed. This visual analysis combined data mining with literature review and summarize the anti-pest activities and mechanisms of action of natural products. This information provides a foundation and ideas for researchers to study the application and development of natural products in pest control. [ABSTRACT FROM AUTHOR]
- Subjects :
- NATURAL products
AGRICULTURAL productivity
KNOWLEDGE graphs
Subjects
Details
- Language :
- English
- ISSN :
- 20957505
- Volume :
- 10
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Frontiers of Agricultural Science & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 164431357
- Full Text :
- https://doi.org/10.15302/J-FASE-2023488