Optimization Techniques for Crop Planning: Current Achievements and Future Directions
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 25 November 2024 | Viewed by 66
Special Issue Editors
Interests: digital agriculture; crop planning; optimisation climate change; computational science
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computation; computational agriculture; multiobjective optimisation; ecoacoustics
Special Issues, Collections and Topics in MDPI journals
Interests: computational science; multiobjective optimisation; smart agriculture; scientific visualisation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will explore the latest advancements and future trajectories in optimization techniques for crop planning. Crop planning plays a crucial role in agricultural productivity, resource management, and sustainability. As such, the integration of optimization methodologies holds immense potential for enhancing decision-making processes in agriculture.
We invite submissions focusing on various aspects of optimization techniques applied to crop planning, including, but not limited to, the following:
- Mathematical modeling approaches for crop planning optimization;
- Integration of machine learning and artificial intelligence techniques into crop planning optimization;
- Multi-objective optimization for sustainable agricultural practices;
- Optimization of resource allocation and use in crop production;
- Decision support systems for precision agriculture using optimization techniques;
- Case studies and applications of optimization methods in real-world crop planning scenarios;
- Novel algorithms and computational methods for crop planning optimization.
We encourage contributions from researchers, practitioners, and stakeholders working in the fields of agriculture, optimization, computational intelligence, and related disciplines. Submissions should present original research findings, methodologies, or critical reviews that contribute to the advancement of optimization techniques for crop planning.
Prof. Dr. Marcus Randall
Dr. James Montgomery
Dr. Andrew Lewis
Guest Editors
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. Agriculture 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 planning
- multi-objective optimization
- machine learning/AI
- agricultural modeling
- climate change
