SLIIT Conference and Symposium Proceedings

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Open Access
Paddy Disease Identification and Impact Calculation Using Machine Learning
(SLIIT Business School, 2023-12-14) Sandeepanie, N; Rathnayake, S; Gunasinghe, A
Rice is a crucial staple crop globally, providing over half of humanity's caloric intake. It supports the livelihoods of small-scale farmers and landless laborers worldwide. With the growing population, there is a high demand for rice production. Sri Lanka is renowned for its high- quality rice and has a long history of paddy cultivation. However, not all the country's 708,000 hectares of land dedicated to paddy cultivation are utilized due to water scarcity and unstable terrain. The objective of this paper is to explore the ways of enhancing the quality of the paddy crop during its vegetative phase by early identification of diseases through the utilization of emerging technologies. The vegetative phase constitutes a critical stage in the growth of paddy, exerting significant influence on the overall yield, resistance to pests and diseases, nutrient assimilation, and the environmental implications of agricultural practices. The primary emphasis of this paper is to identify diseases to which paddy crops are susceptible during the vegetative phase and subsequently present avisual representation of their locations on a map, serving as the output for end-users. Early identification of paddy diseases is crucial for effective crop management and high yields. These diseases, caused by different pathogens, can significantly hinder plant growth and productivity if not detected and treated promptly. Identifying them early allows farmers and experts to take timely and targeted actions, like applying suitable fungicides or implementing cultural practices, to control their spread and minimize crop damage.
Open Access
Human Following Robot
(Sri Lanka Institute of Information Technology, 2023-03-25) Batheegama, M; Mendis, A; Jayawardena, M
The main purpose of this project is to develop a robot that can follow a human to help their activities easy in a well-planned manner. The first implementation of this project is to detect a human and follows the human in a single human environment. The last implementation is to upgrade this into a robot that can detect humans in a busy environment. When designing a robot to work as a human follower it must fulfill some requirements. The issues which are more focused to resolve in here are, the size and mobility while tracking the humans and obstacle detection of the robot. There are many human assistant robots that manufacture small scale in size, but they are not capable of well-assistance and also most of the physically large robots find it hard to assist and handle some activities. Most of the humans following robots are designed for single work, therefore people tend to spend more money on buying robots to fulfill various work. Usually, the components that are used to develop human detection robots are expensive and it is one of the reasons why these types of assistants are expensive. Here, one of the problems which is mobility of the robot while tracking was resolved by developing a more suitable structure, improving the motor-control method, and adding a step-climbing mechanism to the robot. As the robot is manufactured to follow a human, a method to identify a human using image processing is implemented. Also, a method of detecting the position of human is also implemented. And also, the power plan design and all the electronic developments including the power supply unit development and also the power level checker as well has been implemented. Finally in order to make it less complex the circuit has made on PCB.

SLIIT Conference and Symposium Proceedings

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