A Novel Disease Divination System Using Field Data

5 Pages Posted: 3 Oct 2019

See all articles by Sudarshana Kerenalli

Sudarshana Kerenalli

AIET Moodbidri

Harshitha Ko

AIET Moodbidri

Pooja TS

AIET Moodbidri

Pooja Ramdas

AIET Moodbidri

Sam Hegde

AIET Moodbidri

Date Written: October 2, 2019

Abstract

Agriculture, a scientific discipline and skillful activity of cultivating flora and domestic animals. One of the major employment sectors of India is agriculture. Agriculture is the one of the major pillar for Indian economy and backs the whole financial chain of the country. To improve quality of farming, a smart objects network based system can be suggested. A smart objects network arrangement consists of several devices – such as an actuator, a sensor – that are connected to the public network either straightforwardly or not directly. In this paper, a novel system is developed using various sensing devices to collect the data related to soil moisture, temperature, humidity and carbon dioxide concentration – for detecting occurrences of fungal diseases on a chilly plant. The sensors are deployed in the farm and data are transmitted to Arduino Uno (Microcontroller) through wired network. The parametric values fetched from these sensors are sent to the cloud. In ThingSpeak – a cloud platform – where the cleaned data is used – with trained data values – like temperature, humidity, C02 concentration and soil moisture – for the purpose of prediction. If disparity occurred with reference to known threshold value, then warning is sent to the planter either as a SMS on to the mobile or through a push e-mail on to the inbox of the planter with disease control counter measures.

Keywords: IoT, ThingsSpeak, Arduino Uno, Naive Bayesian Classier, Sensors

Suggested Citation

Kerenalli, Sudarshana and Ko, Harshitha and TS, Pooja and Ramdas, Pooja and Hegde, Sam, A Novel Disease Divination System Using Field Data (October 2, 2019). Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019. Available at SSRN: https://ssrn.com/abstract=3462975 or http://dx.doi.org/10.2139/ssrn.3462975

Harshitha Ko

AIET Moodbidri ( email )

Pooja TS

AIET Moodbidri ( email )

Pooja Ramdas

AIET Moodbidri ( email )

Sam Hegde

AIET Moodbidri ( email )

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
11
Abstract Views
117
PlumX Metrics