Synergizing Open Geospatial Data from Cloud Platform and Machine Learning (ML) Algorithms in Open Source Environment for Crop Yield Estimation

Author:

Pandey Kamal,Frederick Alex E.,Sharon ,Raj Aditya,Kumar Mukesh,Karnatak Harish,Lal Deepak

Publisher

Springer Nature Singapore

Reference24 articles.

1. “IBEF Report,” Agriculture in India: Industry Overview, Market Size, Role in Development...| IBEF, Jan 2021. https://www.ibef.org/industry/agriculture-india.aspx. Accessed 06 May 2021

2. Sunder S (29 Jan 2018) India economic survey 2018: farmers gain as agriculture mechanisation speeds up, but more R&D needed. The Financial Express. https://www.financialexpress.com/budget/india-economic-survey-2018-for-farmers-agriculture-gdp-msp/1034266/. Accessed 06 May 2021

3. Ghodsi R, Yani RM, Jalali R, Ruzbahman M (2012) Predicting wheat production in Iran using an artificial neural networks approach

4. Fortin JG, Anctil F, Parent L-É, Bolinder MA (2011) Site-specific early season potato yield forecast by neural network in Eastern Canada. Precis Agric 12(6):905–923. https://doi.org/10.1007/s11119-011-9233-6

5. Lobell DB, Field CB (2007) Global scale climate–crop yield relationships and the impacts of recent warming. Environ Res Lett 2(1):014002. https://doi.org/10.1088/1748-9326/2/1/014002

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