Multi-Objective Optimization Applied to Modern Agriculture
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (15 October 2020) | Viewed by 4960
Special Issue Editors
Interests: multiobjective optimization; metaheuristics; parallel computing; optimization software frameworks
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computation; particle swarm optimization; machine learning; big data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: simulation models; multicriteria decision making; multiobjective optimization; nutritional diet optimization; constraints handling; linear programming; smart farming
Special Issue Information
Dear Colleagues,
Many real-world optimization problems have a multiobjective formulation, which means that they are composed of two or more conflicting objective functions that have to be optimized at the same time. Solving multiobjective optimization problems with metaheuristics, a family of non-exact optimization techniques, has been an open and very active research field the last 20 years.
This Special Issue on “Multiobjective Optimization Applied to Modern Architecture” is aimed at presenting recent advances in the application of multiobjective optimization to modern agriculture. Concretely, the main focus is to address practical problems in the domains of fields related to precision agriculture (farming management based on observing, measuring and responding to inter and intrafield variability in crops), and agritech (use of technology in agriculture, horticulture, and aquaculture). We are particularly interested in studies and developments which can offer new insights and tools, leading to fostering the adoption of modern techniques in real settings.
We invite you to contribute to this Special Issue by submitting new models and case studies centered on modern architecture.
Topics of interest include but are not limited to the following areas:
- Surveys of multi-objective algorithms in modern agriculture;
- Practical applications of multiobjective optimization: land allocation, water resources, crop planning, environment, price forecasting, IoT based smart agriculture, etc.;
- Software tools;
- Decision-making support;
- Visualization;
- Benchmarking.
Prof. Dr. Antonio J. Nebro
Dr. José Manuel García-Nieto
Prof. José Emilio Guerrero Ginel
Prof. Dr. Pablo Lara Vélez
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- Multiobjective optimization techniques
- Precision agriculture
- Land use optimization
- Livestock optimization
- Crop yield optimization
- Pest and disease control
- Agritech
- Optimal irrigation
- Optimal fertilization
- Practical applications
- Software tools
- Remote sensing (satellite, UAV, aerial platform)
- Machine learning
- Time series analysis
- Data integration
- Data analysis
