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Special Issue "Impact of Climate Change on Agriculture"
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Ecosystem, Environment and Climate Change in Agriculture".
Deadline for manuscript submissions: 15 June 2020.
Interests: big data analytics; remote sensing; machine learning; precision agriculture; digital agronomy
Special Issues and Collections in MDPI journals
Special Issue in Agriculture: Knowledge and Techniques Application in Agriculture
The effects of climatic variability and change on global agriculture have become an important societal and technological research field over last 30 years. In this Special Issue, we aim to bring to the forefront this research and various researchers, focusing on agricultural adaptation, a purposeful direct proactive or indirect reactive response to changes associated with climate, agricultural sustainability and influenced by many factors. A very important feature of approaches adapted in this field of research on adaptation in agriculture is the role of government agencies and their long-term policy adaptation in irrigation water management, drought management, and sustainable future funding in tackling adverse climatic conditions. In many parts of the world, farmers are expressing great concern over climatic change and lack of knowledge in future of unpredictable impacts on agriculture. Agricultural growers and farm management authorities handle a complex environment enriched with biophysical, climatic and societal human factors to make profitable agriculture. However, in recent times, political systems and governing authorities of various countries have shown a neutral and ignorant stance towards the importance of the impact of climate change in agriculture. This has been increasing the long-term vulnerability of agriculture and also diminishing the effect on future research funding and fundamental technological advancement in this particular field.
In this Special Issue, we aim to publish research articles on Climatic Variability, Adaptive Capacity, Agricultural System, Drought in Agriculture, Environment Crop Insurance, Advancement in Technology for Climate Adaptation, Data Science to tackle Climatic Variability. We also invite peers from the related fields of research to identify and contribute to this Special Issue with case studies and awareness stories about the adverse effect of climatic changes in agriculture and on the society.
Dr. Ritaban Dutta
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. Agriculture 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 1000 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.
- Climatic Variability
- Adaptive Capacity
- Agricultural System
- Drought in Agriculture
- Environment Crop Insurance
- Advancement in Technology for Climate Adaptation
- Data Science to tackle Climatic Variability