Geospatial Technology for Crop Yield Forecasting-A Case Study of SW Uttarakhand

Author:

Bhoutika Kapil,Kumar Arvind,Das Dhananjay Paswan,Pandey Ashish

Publisher

Springer International Publishing

Reference23 articles.

1. Agrawal R, Jain RC, Jha MP (1983) Joint effects of weather variables on rice yield. Mausam 34(2):189–194

2. Agrawal R, Mehta SC (2007) Weather based forecasting of crop yields, pests and diseases-IASRI models. J Ind Soc Agril Stat 61(2):255–263

3. Ahmed A, Qureshi S, Nargis S (2021) Rural agriculture: a mirror to economic sustainable growth in India. Int J Cult Mod 4

4. Bhoutika K, Das DP, Kumar A, Pandey A (2022) Application of remote sensing and GIS in crop yield forecasting and water productivity. In: Geospatial technologies for land and water resources management, pp 207–222. Springer, Cham

5. Didan K (2014) MOD13Q1: MODIS/Terra vegetation indices 16-day L3 global 250m grid SIN V006. NASA EOSDIS land processes DAAC. In: Doraiswamy P C et al (eds) Crop condition and yield simulations using Landsat and MODIS. Remote sensing of environment, 2004, vol 92, no 4, pp 548–559

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