Artificial Intelligence


Friendly Smart Crop Observation System

Authors: Thien Kian Chung, Sabastine Belulok Saging, Solomon Haw Wei Wern, Chan Man Yew

This paper seeks to propose a monitoring/sensing device as a preliminary prototype to alert farmers or cultivators of crucial information and warnings against critical levels of soil moisture, air temperature and humidity surrounding the crop's vicinity. In it, application of IoT, data analysis and ML techniques are implemented into the design of the said prototype which will be further utilized to evolve the continuously gathered data to construct meaningful forecast of what constitutes a healthy crop and other actionable information. As a result, more meaningful measures can be taken to ensure the safety of the crop based on gradually enhanced and improved data sets in a long run which may help increasing the standards of practice in the evolving agricultural industry.

Comments: 25 Pages. Originally a proposal to join a Hackwknd in Sarawak Agrofest 2019

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Submission history

[v1] 2019-11-24 14:25:08

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