The week's pick
Reseach Article
क्षत्रपति(kṣetrapati): Farm Maestro
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 16 |
| Year of Publication: 2019 |
| Authors: Mannat Doultani, Nishit Ahuja, Chirag Rajavat, Mitesh Methani, Saurabh Sahu |
10.5120/ijca2019918870
|
Mannat Doultani, Nishit Ahuja, Chirag Rajavat, Mitesh Methani, Saurabh Sahu . क्षत्रपति(kṣetrapati): Farm Maestro. International Journal of Computer Applications. 178, 16 ( Jun 2019), 11-14. DOI=10.5120/ijca2019918870
Abstract
This paper proposes a near perfect recommendation, early warning systems and other climate information services which will help farmers and government agencies plan farming activities and programming system for the farmer in term of crop planning and finance management. The system will help them to achieve better sustainability of crops from climatic changes while providing them assistive plan for greater yields.
References
- Haedong Lee and Aekyung Moon, 2014 , “Development ofYield Prediction System Based on Real-time Agricultural meteorological Information”, International Conference on Advanced Communications Technology
- Peng Zhang, Junjie Zhang and Minpeng Chen, 2017, “Economic impacts of climate change on agriculture”, Journal of Environmental Economics and Management
- Mr. Ambarish G. Mohapatra, Dr. Bright Keswani and Dr. Saroj Kumar Lenka, 2017, “Soil N-P-K prediction using location and crop specific random forest classification technique in precision agriculture”, International Journal of Advanced Research in Computer Science
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- Navneet and Nasib Singh Gill, 2014, “Algorithm for Producing Compact Decision Trees for Enhancing Classification Accuracy Navneet and Nasib Singh Gill, 2014, “Algorithm for Producing Compact Decision Trees for Enhancing Classification Accuracy in Fertilizer Recommendation of Soil”, International Journal of Scientific Research in Computer Science
- Anna X. Wang, Caelin Tran, Nikhil Desai, David Lobell and Stefano Ermon, 2018, “Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data”, ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 2018)
- Nikita Gandhi, Leisa j. Armstrong, Owaiz Petkar and Amiya Kumar Tripathy, 2016, “Rice Crop Yield Prediction in India using Support Vector Machines”, Joint Conference on Computer Science and Software Engineering (JCSSE)
- Soil Health Card: https://soilhealth.dac.gov.in/
- Department of Agriculture, Government of Maharashtra: http://krishi.maharashtra.gov.in/1250/Taluka-Level
- National agriculture market, Government of India: http://enam.gov.in/NAM/home/dashboard4.html#
- Indiawaterportal:http://www.indiawaterportal.org/met_data/
- Fertilizer NPK values details and dataset: http://agritech.tnau.ac.in/agriculture/agri_nutrientmgt_nutrientcontent.html
- Cropprices:http://agmarknet.gov.in/PriceAndArrivals/DatewiseCommodityReport.aspx.
- Maharashtra taluka wise yield dataset: http://krishi.maharashtra.gov.in/1250/Taluka-Level
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