Crop Fabrication

Authors

  • Monalisa Sonkusale  Computer Engineering Department Nagpur University, Maharashtra, India
  • Roshni Lonbale  Computer Engineering Department Nagpur University, Maharashtra, India
  • Vaishnavi Battuwar  Computer Engineering Department Nagpur University, Maharashtra, India
  • Prof. Prasanna Lohe  Computer Engineering Department Nagpur University, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217348

Keywords:

Soil Testing, Crop recommendation, Soil contents, Market Scenario, Crop Information

Abstract

In India farming is done by traditional methods. Farmers plants crops traditionally without having the knowledge about the contents of the soil and as a result farmer do not gain sufficient profit. The existing method of soil testing is the manual testing starts which by taking soil samples and then sending it to laboratories. The manual process is time consuming and also not feasible. Due to human intervention, there are chances of human errors and so farmers may receive incorrect report. Thus, Development of agriculture using technology is much needed as to minimize the financial losses suffered by the farmers. Thus, our proposed module will provide a brief overview of soil components and other parameters affecting the growth of a crop. Our module is a complete platform designed to such a degree that it incorporates each and every information about the crop from initial level to advance level.

References

  1. Komal Abhang, Surabhi Chaughule, Pranli Chavan, Shraddha Ganjave “Soil Analysis and Crop Fertility Prediction”, IRJET, Volume 5, Issue 3, march 2018
  2. Akshay Badhe , Sandeep Kharadkar, Rushikesh Ware, Pratik Kamble “IOT Based Smart Agriculture And Soil Nutrient Detection System” CE RMDSSOE, Warje, Pune,India.
  3. Assessment of the SMAP Passive Soil Moisture Product,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING VOL-54 no.8 august 2016.
  4. Applying big data for intelligent Agriculture-Based crop Selection Analysis VOL-7 2019.

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Monalisa Sonkusale, Roshni Lonbale, Vaishnavi Battuwar, Prof. Prasanna Lohe, " Crop Fabrication , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.353-357, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217348