Efficient and Intelligent Methods for Crop Disease Detection
A special issue of Agronomy (ISSN 2073-4395).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 107
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue, entitled "Efficient and Intelligent Methods for Crop Disease Detection" and to be published in the esteemed journal Agronomy, presents a comprehensive exploration of cutting-edge techniques and advancements in the realm of crop disease detection. Recognizing the criticality of early and accurate disease identification in agricultural practices, this Special Issue aims to compile pioneering research from leading experts worldwide. Articles within this collection will delve into innovative methodologies that leverage artificial intelligence, machine learning, remote sensing, and sensor technologies to enhance the efficiency and precision of crop disease detection. Additionally, contributions will elucidate novel approaches to data fusion, image analysis, and decision support systems tailored to diverse agricultural contexts. Through a synthesis of theoretical insights, experimental findings, and practical applications, this Special Issue serves as a pivotal resource for researchers, practitioners, and policymakers striving to optimize disease management strategies and safeguard global food security.
Dr. Moussa El Jarroudi
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. Agronomy 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
- crop disease detection
- innovative methodologies
- Artificial Intelligence
