Special Issue "New Development in Smart Farming for Sustainable Agriculture"
Deadline for manuscript submissions: 31 March 2022.
Interests: modeling and optimization in agricultural engineering; electrical parameters of biological materials; bioinformatics; artificial intelligence; computational intelligence; pattern classification; clustering; artificial neural networks; food science; evolutionary algorithms; neural modeling
Interests: artificial neural networks; artificial intelligence; machine learning; yield modelling; predictions; forecasting; crop production
Special Issues and Collections in MDPI journals
Special Issue in Agriculture: Digital Innovations in Agriculture
Special Issue in Energies: Applications of Modern Information and Communications Technologies in Biosystems Engineering
Special Issue in Agronomy: Predictions and Estimations in Agricultural Production under a Changing Climate
Interests: agricutural engineering; soil tillage; precison agriculture; soil monitoring, proximal sensing, spectroscopy; digital farming; smart farming
Special Issues and Collections in MDPI journals
Smart farming is a relatively new farming management concept evolving from precision to digital agriculture, generating a fourth wave of the agricultural revolution (Agriculture 4.0). It combines precision agriculture with digital technology. Many techniques and tools, such as Artificial Intelligence, the Internet of things, big data analysis, machine learning, modern communication technologies, development of GNSS and Earth observation systems, drones, robots and automation systems, are employed to make modern agriculture more “intelligent” and “smart”.
The Smart Farming approach is becoming an essential step toward sustainable agriculture by reducing the environmental impact of farming, making agriculture more profitable for farmers, and increasing consumer acceptance of agricultural technologies and products. Modern sensors collect information about parameters of crops, soil, water, etc. The acquired data are stored, processed, and analyzed, and valuable knowledge is extracted. Control and decision support systems use knowledge for the optimization and automatization of agricultural processes. All together, they will represent a technical revolution bringing about major changes and agricultural practice. Such deep changes in practice bring not only opportunities but also big challenges.
This Special Issue aims to present state-of-the-art papers related to a wide range of reviews, research papers, communications, technical papers, research concepts, and perspectives in the applications and benefits of smart farming in sustainable agriculture.
Some of the topics of interest in this Special Issue include (but are not limited to):
- Smart farming technologies for sustainable crop, animal, and fish production;
- Sustainable, data-driven agri-food supply chain;
- Remote sensing for sustainable smart farming modeling and optimization of agricultural processes;
- Modeling and optimization of automation and robotization systems for sustainable farming;
- Smart sensors and the Internet of Things for sustainable agriculture;
- Decision support systems and data analysis in sustainable agriculture;
- Artificial intelligence, machine learning, and deep learning application for sustainable agriculture;
- Cloud computing and big data analysis in the sustainable agri-food sector.
Prof. Dr. Katarzyna Pentoś
Prof. Dr. Gniewko Niedbała
Dr. Tomasz Wojciechowski
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 papers will be 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 2000 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.
- smart farming
- precision agriculture
- precision livestock
- precision horticulture
- digital agriculture
- remote sensing
- Internet of Things
- data analysis
- sustainable agriculture
- supply chain
- artificial neural networks