Agricultural Data Science as a Potential Field and Promoting Agricultural Activities & Sustainable Agriculture
Authors/Creators
- 1. Executive Director, MCIS, Department of CIS, Information Scientist (Offg.), Raiganj University, India, Asia
- 2. Vice Chancellor, Raiganj University, India, Asia
- 3. Pro Vice Chancellor (Asian Region), Commonwealth Vocational University, Tonga, Oceania
- 4. Vice Chancellor, Srinivas University, Karnataka, India, Asia
- 5. Dean (Science & Management), Raiganj University, India, Asia
- 6. Director & Chair, International Programs, Azteca University, México, North America
Description
Agriculture is important for everyone due to its importance in our daily lives. Cultivation is valuable for all of us and required in the building of healthy agricultural systems development and in this context different technologies and also emerging Agricultural Informatics plays a leading role. In respect of developing modern agricultural systems,various methods are useful and enhancing. Apart from the core technologies various supporting technologies, also beneficial in modernizing agricultural production and systems practice. Among the technologies few important are genetic engineering, computing technology, nanoscience, Management Science, and so on. Information Technology and Agricultural Sciences result in the development of Agricultural Informatics with its various components. Recently various other components have developed viz. Data Analytics, AI & Robotics, Cloud Computing & Virtualization, Internet of Things, etc. And within these technologies, Big Data and Analytics is emerging and enhancing more on Agricultural Informatics since it holds the solution for managing data effectively with a large amount and also the complex data. The applications of Data Science, Big Data, or Analytics in different subjects have resulted in various new nomenclature and among these Agricultural Data Science is an important one. This paper deals with the Agricultural Informatics including features, applications emphasizing Big Data and Analytics. The paper discussed about Agricultural Data Science, i.e. possibilities of Big Data and Analytics in Agricultural with educational programs available and future potentials. The paper also states the challenges, issues, etc. in this regard.
Files
110. Agricultural Data Science.pdf
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(402.3 kB)
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