Application of Colorimetry to Determine Soil Fertility through Naive Bayes Classification Algorithm

Surili Agarwal, Neha Bhangale, Kameya Dhanure, Shreeya Gavhane, V. A. Chakkarwar, M. B. Nagori

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fertility of the soil is considered most important criterion in any agriculture practice. Nutrients present in the soil define its fertility. Mineral nutrients such as Nitrogen (N), Potassium (K), Phosphorous (P) are vital for plant growth and food production. Lack of adequate knowledge amongst the farmers about the various parameters in farming like the soil fertility, amount of fertilizer to be used, leads to degradation of the overall soil quality. In this paper, we have represented a system to test the soil fertility by using the principal of colorimetry. Colorimetry is a technique in which we measure the amount of light absorbed by the color developed in the sample. An aqueous solution of the soil sample is prepared using extracting agents and is subjected to the photodiodes of the color sensor. The solution develops a color due to reaction of nutrients in the soil with chemicals. The output by the color sensor is calibrated with standard values present in the database. To verify the results obtained by the color sensor we use the Naive Bayes classification algorithm. This algorithm classifies the intensity values of the soil solutions into three class labels namely low, medium, high. After applying the Naive Bayes classifier, we can predict the accuracy of the intended system. The intended system is thus beneficial to reduce the time required for testing the soil fertility and determining the accuracy of our results.

Original languageEnglish
Title of host publication2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538644300
DOIs
Publication statusPublished - 16 Oct 2018
Externally publishedYes
Event9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018 - Bengaluru, India
Duration: 10 Jul 201812 Jul 2018

Publication series

Name2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018

Conference

Conference9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018
Country/TerritoryIndia
CityBengaluru
Period10/07/1812/07/18

Keywords

  • Colorimetry
  • Naïve Bayes
  • Nutrients
  • Soil fertility

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