Special Issue "Digital Agriculture for Sustainable Food Systems: Implications for Land-Resource Use and Management"
A special issue of Land (ISSN 2073-445X).
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 23569
Interests: agricultural economics; agricultural systems; urbanization; food and agricultural policy; food value chains; food security; developing countries; Egypt; China
Interests: remote sensing and geospatial data modeling; machine learning; landscape conservation; soil erosion
Today's food systems face manifold sustainability challenges. Outcomes of these food systems contribute to poverty, social and income inequalities, as well as the triple burden of malnutrition. In addition, current food systems are environmentally unsustainable, as they are associated with greenhouse gas emissions, biodiversity loss, water and air pollution and soil degradation, and characterized by their low resistance to natural and socioeconomic shocks. By 2050, the global food system must feed nine billion people, out of which around eight billion would be in developing countries. Feeding such populations sustainably and more fairly not only requires increasing food availability but also addressing several substantial challenges (e.g., climate change) and ensuring that food is produced in ways that allow for its sustained supply, do not degrade our ability to produce food in the future, and do not seriously compromise critically important ecosystem services.
In this context, the incremental developments in agricultural technology have empowered research and management capabilities to integrate more effectively with real-world challenges. Digital agriculture as a new research era brings together the scientific community, governments, stakeholders, and the public to discover the potential of this endeavor to facilitate their goals and needs. In addition, this technology has a promising outcome for the rural agricultural developments as it provides the accessibility to invaluable datasets on climate, seeds, fertilizers, harvest, and markets.
Satellites, airborne sensors, unmanned aerial vehicles (UAVs), and wireless sensors networks (WSNs) are now available tools in our world that provide information and help to make decisions. The Internet of Things (IoT) helps clarify this complex interaction between several parties, which encourage proactivity to react quickly, more effectively, and with less cost. Big data in our modern world is the greatest asset, as it shows information in high space and time resolution scales, builds robust machine learning algorithms, and produces informative layouts. Therefore, reliable agricultural and environmental policies can be produced, more social awareness and engagements set up, and lucrative farming strategies and healthier ecosystems developed.
The purpose of this Special Issue is to provide a platform to enhance interdisciplinary research and share the most recent ideas and novel ways in monitoring, assessing, modeling, and predicting land cover/land use dynamics, land health, yield using remote sensing technologies and artificial intelligence. The ultimate goal is to propose and deliver solutions and information that can be applied to various several agricultural and environmental contexts to build more sustainable agricultural systems that adapt to environmental changes, foster food security, and meet the needs of the increasing population. The targeted audience includes both academic researchers and practitioners. In particular, published articles would cover but are not limited to the following topics:
- Digital agriculture and agricultural systems' resilience and sustainability
- Digital agronomy applications for improving land health, environmental conservation and restoration, and food security
- Digital agriculture and natural-resource protection and restoration
- Approaches to assess land cover alter or/and predict land use productivity
- Technological innovation, digital agronomy and agricultural and environmental policies
- The use of spatiotemporal data in land conservation and climate change impacts
- The use of artificial intelligence in land cover and land use modeling
- The interaction between environment, farms, and markets through IoT-based smart farming
Dr. Assem Abu Hatab
Dr. Nasem Baderldin
Dr. Zhen Liu
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. Land 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.
- landcover dynamics
- big data
- Artificial Intelligence (AI)
- digital farming
- remote sensing
- spatiotemporal analysis
- IoT-Based agriculture, conservation policies
- agriculture systems
- sustainable development