Special Issue "Remote Sensing for Sustainable Agriculture and Smart Farming"
Deadline for manuscript submissions: closed (31 July 2020).
Interests: crop management practices; spatial accessibility models; pest and disease modelling; crop stress characterisation; crop yield estimation
Interests: land use and crop mapping; retrieval of biophysical parameters; agro-practices and phenological monitoring from time series analysis; environmental indicator through geographic multisource data integration; precision farming; anomaly detection
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Interests: plant pathology; agricultural spatial analysis and modelling, crop and pasture protection (pests, diseases and weeds)
The agricultural sector is one of the largest contributors to greenhouse gas emissions and is a major consumer of resources and energy. It is also a driver of land-use change, natural resource degradation and habitat loss. Continuing to produce sufficient and nutritious food whilst reducing environmental impacts will require changes in crop and livestock management. These changes must increase efficiency and reduce losses to ensure a stable and sustainable production in the context of global change (climate, technological, economic and demographic).
Smart farming, or smart agriculture, is the use of information technology to increase the quantity and quality of agricultural products in an optimal way that preserves natural resource capital and ecosystem functionality. Information from a range of sensor technologies together with innovative approaches to extract added-value information can be used for strategic decision-making at farm and field levels and for tactical guiding of in-season operational activities down to the individual plant level.
With respect to smart farming, remote sensing can provide: (i) information on pre-season risk factors for crop/livestock health and productivity, (ii) within-season observations of the current conditions of crops, livestock, soil and water, and (iii) information on the effect of treatments, interventions or other events–such as lodging—that take place during the season. All of these can help guide preventative or corrective actions for the current season as well as management decisions for the following seasons.
This Special Issue is inviting manuscripts that demonstrate the potential of remote sensing sources for smart-farming applications. We particularly invite submissions that combine information from remote sensing with information from on-farm sensors. Topics include:
- Spatial modelling for pre-season assessments of crop and livestock health risk factors
- Analytics for crop, water, soil conditions
- Early detection, diagnostics, control of crop pests and diseases
- Early detection, diagnostics, control of nutrient deficiencies
- In-season assessment of bio-physical crop parameters as quantitative information for precision-farming decision
- Detection of shifts or movements in pest and disease distributions
- Forecasting of farm/field-level yield and mapping of within-field yield variability
- Detection of the causes of yield variability within fields and farms
- Impact assessments of new agricultural technologies
Prof. Andy Nelson
Dr. Mirco Boschetti
Assoc. Prof. Adam H. Sparks
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.
- Smart agriculture/farming
- Precision agriculture/farming
- Crop biophysical parameter estimation
- Multi sensor approaches
- Spatial quantification
- Crop health
- Livestock health
- Agricultural technology
- Early detection
- Crop health diagnostics
- Pests and diseases
- Yield variability
- Impact assessments