Sustainable Cutting-Edge Solutions for Pest Management
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Protection, Diseases, Pests and Weeds".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 228
Special Issue Editors
Interests: entomology; biological control; invasive species; artificial intelligence; traps and e-traps; phylogeny; endosymbiont
Special Issues, Collections and Topics in MDPI journals
Interests: pest biological control (in general); Xylella fastidiosa vectors; parasitoids of Ceratitis capitata; whiteflies on citrus and persimmon crops
Special Issues, Collections and Topics in MDPI journals
Interests: ecological modelling; pest population dynamics; entomological measurement planning and estimation; applied entomology; computational ecology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Pests pose a persistent threat to agriculture. Due to the dynamics of international trade and the impacts of climate change, there is a heightened risk of introducing and adapting potentially harmful organisms, exacerbating the reappearing and damages of native pests, and misalignment of their life cycles. This necessitates resorting to traditional control techniques, often based on chemicals. With the aim of eco-friendly agricultural practices, promoting healthier nutrition, and safeguarding biodiversity, the exploration and development of more sustainable methodologies is imperative.
This Special Issue focuses on the discovery and use of alternative control strategies such as insects, fungi, bacteria, and viruses to tackle harmful biotic agents and on artificial intelligence to obtain remote and precise monitoring, mathematical models to describe biological cycles, and to predict the infestations. Additionally, this Special Issue covers the development of methodologies for prompt diagnosis of harmful organisms.
In essence, “cutting-edge” ideas embrace all the topics converging towards the achievement of smart, early, precise, and, above all, sustainable control strategies.
Dr. Francesco Nugnes
Dr. Francisco J. Beitia
Dr. Luca Rossini
Guest Editors
Manuscript Submission Information
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Keywords
- biological control
- natural enemies
- entomology
- plant health
- predictive models
- artificial intelligence
- remote control
- diagnostic methodology
- sustainable IPM
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