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This is a tri-lingual app based on django and python3 to indicate near surface soil moisture content, which can be further utilized in many ways in agriculture as well as discovering locust breeding habitats. The app estimates soil water content accurately upto 1-3% of conventional manual processing techniques.

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kanishkkalra11/Soil-Moisture-Estimation-Webapp

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Soil-Moisture-Estimation-Webapp

This is a django based app. To host on the local machine, run the following on command line: $python manage.py runserver$

users folder contains the utilities for adding new users, login, logout, sign in, etc.

app folder contains the utilities of actual moisture estimation.

The actual image processing is done using count_moisture_content.py and img_tools.py. This is taken from: V.K. Gadi, D. Alybaev, P. Raj, A. Garg, G. Mei, S. Sreedeep, and L. Sahoo, “A Novel Python Program to Automate Soil Colour Analysis and Interpret Surface Moisture Content,” International Journal of Geosynthetics and Ground Engineering, Vol. 6, p. 21, May. 2020

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This is a tri-lingual app based on django and python3 to indicate near surface soil moisture content, which can be further utilized in many ways in agriculture as well as discovering locust breeding habitats. The app estimates soil water content accurately upto 1-3% of conventional manual processing techniques.

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