Advisory System for predicting production regions for Apple and Potato

Authors

  • Megha K. Patel  M.E. (I.T.) Student, I.T. Department, L.D. College of Engineering, Ahmedabad, Gujarat, India
  • Hiteishi M. Diwanji  Associate Prof., I.T. Department, L.D. College of Engineering, Ahmedabad, Gujarat, India

Keywords:

Weather Data, Soil moisture data, Advisory

Abstract

Weather advisory helps for feasibility of transportation risks and future production/production regions. In Weather advisory weather data are consider as an input and according to weather condition production regions as classified for particular crop. This system will help in making future projections and consumptions and make scenarios for demand and supply. This system works on the premise of image (raster) operations as geo-spatial layer provided to the system and weather data. This system is design for apple and potato; it has been tested with available weather, and soil moisture data. For apple it has been tested with the available data for shimla district of Himachal Pradesh and for potato and it has been tested with the available data for Gautambuddhnagar district of Uttar Pradesh.

References

  1. Chilling Accumulation: its importance and Estimation URL: www.agrilife.org
  2. Handbook on horticulture statistics 2014
  3. Big Data Analytics Architecture for Agro Advisory System by Purnima Shah, Deepak Hiremath and Sanjay Chaudhary

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 4, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Megha K. Patel, Hiteishi M. Diwanji "Advisory System for predicting production regions for Apple and Potato" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.985-988, March-April-2018.