Crop Suitability and Fertilizers Recommendation Using Data Mining Techniques-Reference-Cited by-同舟云学术

Crop Suitability and Fertilizers Recommendation Using Data Mining Techniques

Published:2018-07-10 Issue: Volume: Page:205-213
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Chougule Archana,Jha Vijay Kumar,Mukhopadhyay Debajyoti

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0224-4_19

Reference10 articles.

1. Limin Chuana, Ping Hea; Establishing a scientific basis for fertilizer recommendations for wheat in China: Yield response and agronomic efficiency; Field Crops Research; Volume 140; January 2013; pp. 1–8

2. Jitendra Roy; Soil Test based Fertilizer Recommendation System (STFRS), Department of Agriculture, Government of West Bengal, 2015

3. Models Library ( http://models.pps.wur.nl )

4. Hao Zhang, Li Zhang, Yanna Ren, Juan Zhang, Xin Xu, Xinming Ma, Zhongmin Lu; Design and Implementation of Crop Recommendation Fertilization Decision System Based on WEBGIS at Village Scale; In: Li D., Liu Y., Chen Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol. 345. Springer, Berlin, Heidelberg

5. Mansi Shinde1, Kimaya Ekbote, Sonali Ghorpade, Sanket Pawar, Shubhada Mone; Crop Recommendation and Fertilizer Purchase System; International Journal of Computer Science and Information Technologies, Vol. 7 (2), 2016; pp. 665–667

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