Estimation of crop production using machine learning techniques: a case study of J&K

Author:

Mahajan JyotiORCID,Banal Kriti,Mahajan Samridhi

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference14 articles.

1. Najeeb S, Shikari AB, Parray GA (2015) Status paper on rice in Jammu and Kashmir. J Rice Knowl Manag Portal. ICAR-IIRR, Hyderabad, India, pp 10–19. http://www.rkmp.co.in. Accessed 28 Feb 2020

2. Baba SH, Zargar BA, Husain N, Malik I, Bhat IF (2019) Trends of maize production in Jammu & Kashmir. J Pharmacogn Phytochem 8(3):4558–4561

3. Yange TS, Egbunu CO, Rufai MA, Onyekwere O, Abdulrahman AA, Abdulkadri I (2020) Using prescriptive analytics for the determination of optimal crop yield. Int J Data Sci Anal 6(3):72–82. https://doi.org/10.11648/j.ijdsa.20200603.11

4. Bondre D, Mahagaonkar S (2019) Prediction of crop yield and fertilizer recommendation using machine learning algorithms. Int J Eng Appl Sci Technol 4:371–376. https://doi.org/10.33564/IJEAST.2019.v04i05.055

5. Teeda K, Vallabhaneni N, Sridevi T (2018) Analysis of weather attributes to predict crops for the season using data mining. Int J Pure Appl Math 119(12):12515–12521

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