Masters of IT Project: IoT for Pest and Disease Control in India

This project, undertaken by a Masters of Information Technology student at Charles Sturt University, investigates the application of IoT technology in farming, specifically focusing on pest and disease management in crops. The research aims to develop a smart farming system that utilizes sensors to monitor environmental conditions, detect pest infestations and diseases, and provide farmers with real-time information and mitigation strategies via a mobile application. The project scope includes popular crops grown in India, such as tomatoes, vegetables, and maize, and employs a content analysis methodology, including literature reviews, surveys, and interviews. The goal is to enhance food security by reducing crop losses, promoting sustainable farming practices, and improving the efficiency of pest and disease control through the integration of IoT technologies. The proposed system will track weather patterns, predict potential infestations, and offer localized solutions in the local language to ensure accessibility for farmers.

Introduction:
I am Harjeet Singh a student of Masters of Information Technology at the Charles Sturt
University. The topic I selected for this project research is IoT for farming.
Topic Selection:
Use of IoT in farming to manage, control and execute pests and disease of different crops.
Abstract:
Controlling pests and diseases in crops is an important facet of farming. There is an adverse
effect of each species of pests and type of diseases on agriculture as they harm plants & seeds.
Not only harm but also their presence in agriculture slow down the plants growth and reduce the
quality as well as the production of crops. Pesticides or fungicides are used to kill diseases and
pest but is not environment friendly. There has been great development on controlling pests and
disease using information and communication models. The latest application is the use of IoT
technology for smart farming systems dubbed as smart “farms “. The system uses a connection
of various devices to get data from the farm and automatically process the data. The current IoT
innovation has majored on monitoring humidity, soil moisture, weather, harvesting and
temperatures. Research on management of pests and disease using IoT is still on the infancy
stage and therefore need to be studied. In this paper, available literature on pests control using
IoT technology will be reviewed with a view of getting satisfying report. Therefore, the IoT
technology is designed as a practical solution to minimize losses caused by pests and disease.
IoT can do very well in predicting when pests appear and provide a course of action to reduce
infestation. Here prediction models implemented use correlation information. With clear vision,
a program is expected to give prediction information on pests and diseases to help farmers to
take it under their control.