Artificial Intelligence (AI) and Insect Pests Management: Securing Food Security, Human Health, and Natural Resources
A special issue of Insects (ISSN 2075-4450). This special issue belongs to the section "Insect Pest and Vector Management".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 513
Special Issue Editor
Interests: integrated pest management of invasive insects pests; identification and diagnosis; biological control; insect pest modeling and predictions; insect identification; insect detection; insect monitoring and management in specialty crops
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Insect pests cause serious challenges to food production systems, human health, and natural resources. The economic, ecological, and social costs to control these pests in the production systems, forests, and urban areas are increasing every year. As a result, economical and ecological costs are increasing to manage them. In recent years, artificial intelligence (AI) development to support integrated pest management is gaining significant attention for pest identification, detection, monitoring, and management of invasive and established pests. Indeed, AI technology has the potential to revolutionize food production systems, human health, and natural resources by improving the speed and accuracy of insect pests’ surveillance, detection, and management. Certainly, it could help with the offshore mitigation of invasive pests and sustain trade and tourism. It is not surprising to see AI being incorporated into various IPM programs in agriculture, forests, and urban settings around the world. However, its regulations (public sector policies and laws) to promote safe and risk-free AI are in their infancy and need careful assessment and evaluation for its broader application. This Special Issue will include original research articles and reviews by leading research entomologists, plant pathologists, weed control specialists, and associated experts. Papers will focus on designing, developing, improving, and implementing AI-based technologies in sustaining food security, human health, and natural resources. Additionally, articles that outline the integration of effective IPM options for a given pest species using AI under climate change patterns in food crops, forestry, and urban areas are particularly welcome.
Dr. Muhammad Haseeb
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Insects is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- insect detection
- identification
- monitoring
- AI
- invasive pests
- pest geographical modeling
- food production systems
- forests
- landscape
- training
- IPM
