Automated Soil Residue Levels Detecting Device With IoT Interface

Author:

Rao Adiraju Prasanth1ORCID,Reddy K. Sudheer1ORCID,V. Sathiyamoorthi2ORCID

Affiliation:

1. Anurag Group of Institutions, India

2. Sona College of Technology, Salem, India

Abstract

Cloud computing and internet of things (IoT) are playing a crucial role in the present era of technological, social, and economic development. The novel models where cloud and IoT are integrated together are foreseen as disruptive and enable a number of application scenarios. The e-smart is an application system designed by leveraging cloud, IoT, and several other technology frameworks that are deployed on the agricultural farm to collect the data from the farm fields. The application extracts and collects the information about the residue levels of soil and crop details and the same data will be hosted in the cloud environment. The proposed e-smart application system is to analyze, integrate, and correlate datasets and produce decision-oriented reports to the farmer by using several machine learning techniques.

Publisher

IGI Global

Reference13 articles.

1. Ali, Dong, Dhau, Khosla, & Kaushik. (2020). Perspective—Electrochemical Sensors for Soil Quality Assessment. Journal of The Electrochemical Society.

2. Anitha, Suresh, Gnaneswar, & Puneeth. (2019). IoT Based Automatic Soil Moisture Monitoring System using Raspberry PI. International Journal of Innovative Technology and Exploring Engineering, 9(2).

3. E-Agricultural Concepts for Improving Productivity: A Review proposed by Narmilan A. (2017). Scholars Journal of Engineering and Technology, 5(1), 1-17.

4. Pradhan & Mohapa. (2015). E-agriculture: A Golden Opportunity for Indian Farmers. An International Journal Research and Development, A Management Review, 4(1).

5. Fafchamps & Minten. (2012). Impact of SMS-Based Agricultural Information on Indian Farmers. Oxford Journals, 26(3), 383–414.

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