A Survey Towards Decision Support System on Smart Irrigation Scheduling Using Machine Learning approaches

Author:

Saggi Mandeep KaurORCID,Jain Sushma

Funder

Council of Scientific and Industrial Research, India

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Reference178 articles.

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3. Kamilaris A, Prenafeta-Boldú FX (2018) Deep learning in agriculture: a survey. Comput Electron Agric 147:70–90

4. Wani JA, Sharma S, Muzamil M, Ahmed S, Sharma S, Singh S (2021) Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges. Arch Comput Methods Eng 29:1–37

5. Howell T (1996)Irrigation scheduling research and its impact on water use. Evapotranspiration and irrigation scheduling. In: Proceedings of the international conference. American Society of Agricultural Engineer St Joseph, pp 21–33

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