Browsing by Author "Rukgahakotuwa, L"

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    FarmCare: Location-based Profitable Crop Recommendation System with Disease Identification
    (IEEE, 2022-12-09) Weerasooriya, W.M.M.S; Wanigaratne, A.D; De Silva, H.G.O; Hansaka, S.A.H; Perera, J; Rukgahakotuwa, L
    Sri Lanka is an agricultural country since ancient times. Today’s agriculture field is in a dangerous situation because farmers are losing their yield. There are many factors to consider when planting crops like rainfall, temperature, soil conditions, future prices, diseases, etc. We decided to help them through the android application we are making. Here we identified four main problems. First, it was wrong crop cultivation. This is the main reason crops and cultivation are destroyed. To give a solution to that problem, we suggest the five most suitable crops to cultivate according to their location. The second problem is a lack of knowledge about future market prices. As a solution to that problem, we predict prices for each cop for the next 12 months. Another problem is an inability to sell their product at a reasonable price. Here, we directly connect buyers and sellers by removing intermediaries. The last problem is the difficulty to identify diseases affected by crops. Using our mobile app farmers can identify which disease affected their crops by uploading an image to the app. To give solutions to the above-mentioned problems Machine Learning algorithms are used like Random Forest, k-means clustering, and Convolution Neural Network algorithms.
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    Human Behavior Analysis for Psychological Healthcare Sector (Project SERENITY)
    (IEEE, 2022-12-09) Dassanayake, D.M.H.; Wanigathunga, C.V.; Meeriyagalla, P.Y.; Yapa, K; Wickramarathne, K.A.P.P.; Rukgahakotuwa, L
    Mental health is a key area of the healthcare sector. While taking care of the physical health of the human body, it is important to pay attention to mental health as well. This project is done to help people maintain their mental health. ‘ SERENITY’ is a web application designed not only for patients but also for doctors. This app works as a virtual assistant for a doctor, and this app helps doctors constantly monitor their patients’ behaviour, as well as SERENITY, which will be able to analyze the emotions of patients individually.