Special Issue "Remote Sensing Technologies, Crop Yield, Soil and Weather Data Integration in Digital Agriculture"
Deadline for manuscript submissions: 1 April 2022.
Interests: foliar application of nutrients; organic farming; quantum GIS; ArcGIS; landsat vegetation indices; ECa directed to soil sampling technique; geostatistical analysis; precision agriculture; remote sensing
Interests: geospatial information; precision agriculture; remote sensing; administrative and statistical data for agriculture; open data
Special Issues and Collections in MDPI journals
Interests: management zones; site specific tillage and input management; precision agriculture application on smaller farms; soil science; land evaluation; fertilization; tropical agriculture; organic farming; agricultural machinery
Interests: precision agriculture; precision horticulture; variable rate application; spatial variability; yield mapping; sensors in agriculture; automatic steering; agricultural machinery; tractors
Interests: remote sensing applications in agriculture; data assimilation; agro-geoinformatics
Special Issues and Collections in MDPI journals
The current global food and agriculture system is facing major global challenges including climate change, population growth, environmental degradation biodiversity loss and natural resources depletion. It is recognized that agricultural digitalization might be one of the approaches that can help to counterbalance the current situation with the help of remote sensing and other technologies producing a huge amount of relevant data at parcel, farm and regional levels.
Today, we can model the crop yield performances, quality of the agricultural product and environmental effects of agricultural input usage in the spatio-temporal dimension by exploiting the remotely and proximal collectable data and by analyzing the relationships among crop, soil, weather and farm management practices. Several approaches are being developed to allow the precise management of farm resources as function of the within-field variability enacting a relevant leap compared to the traditional agricultural practices. However, the implementation of precision agriculture practices faces the challenge due to the diversity of factors which impact the crop yields and quality such as size of agricultural lands and variability of topography, soil, moisture and microclimatic conditions etc.
In this special issue; we focus on the state-of-art research on digital agriculture enabled by integrating remote, proximal and ground sensing technologies with crop, soil and weather data in search of a sustainable use of farm inputs. Innovative approaches are solicited on measurement, management/integration and use of data established by technologies for better understanding and managing the within-field variability and its relationship with remote, proximally and ground-sensed data. We invite you to submit reviews, case studies, or research articles for that focus on scientific methods, technological tools, and innovative statistical analyses, to capture the current advancements and fostering an open discussion on the future perspectives on the smart exploitation of spatial data integration in agriculture.Dr. Abid Ali
Dr. Flavio Lupia
Dr. Michał Stępień
Dr. Bahattin Akdemir
Dr. Zhongxin Chen
Dr. Dariusz Gozdowski
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. Remote Sensing 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.
- Spatio-temporal soil/crop/product quality variability
- Spectral vegetation indices
- Proximal soil and crop sensing
- Soil spatial variability
- Weather data and irrigation
- Geostatistical analysis of soil and crop variability
- Site-specific crop management
- Precision farming
- Digital agriculture