Browsing by Author "Wellalage, S."

Now showing 1 - 4 of 4

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Automated Crop Harvesting, Growth Monitoring and Disease Detection System for Vertical Farming Greenhouse
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Jayasekara, C.; Banneka, S.; Pasindu, G.; Udawaththa, Y.; Wellalage, S.; Abeygunawardhane, P.K.W.
- Greenhouses are a type of cultivation method used to optimize the production of crops by using controlled climatic conditions and other external factors. They are widely used in agriculture both globally and locally. Vertical farming is the modern practice of growing crops in vertically stacked layers in warehouses that aims to optimize and develop plant growth by using controlled environment agriculture. This type of agriculture concept is practiced in Sri Lanka at present. This research paper proposes a robot which consists of a specific navigation system and harvesting mechanism that can be used inside greenhouses. The proposed system can be implemented to harvest lettuce in the vertical farming greenhouses where lettuce needs to be harvested with care to ensure the supermarket quality. The above-mentioned system helps to detect the diseases of plants also where a lot of time can be saved, and less effort is made with the use of this type of implementation.
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Fully Automatic Hydroponic Cultivation Growth System
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Thalwatte, A. M.; Ranasinghe, U. G. K. L.P. S.; Sakee, M. F. A.; Ikram, M. M. M.; Mahaadikara, H.; Wellalage, S.
Fully automated hydroponic system with monitoring and controlling components. This technique of developing plants can be used to develop plants in the flats the improvement is focused on the deployment of agricultural greenhouses into small-scale stages reworking it into a smart greenhouse. The identification system successfully identified the stage of plants well into the sprout stage and primary stage. Using an automated system and assembling the sensors and actuators considered about four factors which mainly impact the plant growing, light intensity level measurement, Temperature level, water level land co2 supply Also implement a pre-harvest disease detection using image processing and machine learning and alert the user regarding the prevention methods. The system counts infected disease plant and gets percentage then graphically represent a comparison of the yield production. Then forecast yield production. Another important component is to identify the Leaf Disease That Has Affected the Plant, Design database to record all data and provide a report for each disease.
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HopOn: A Personalized Ride-Sharing System based on Socio-Economic Factors
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Thilakaratne, A.; Pinnawala, N.; Wijerathna, K.; Senavirathna, K.; Wellalage, S.; Wijekoon, J.L.
Rapid urbanization and increasing income levels combined with poor and insufficient road network to accommodate vehicles is causing a major traffic problem in Sri Lanka. Additionally, in urban areas, traffic congestion is leading to an increase in air and noise pollution as well. Numerous solutions were tried by authorities, yet no promising results were yielded to address these issues successfully. Contrastingly, increasing road network capacity to solve this problem is very costly and feasible only up to a certain point. Another option is to limit the number of vehicles in the city either by law or by alternative means such as ride-sharing. The best ride-sharing method available is the public transportation, however, due to the limitations of it, upper middle-class opt not to use those hence use their own vehicle to get the expected comfortability. This study is aimed at developing a ride-sharing application by profiling the users based on user reputations, vehicle type, socioeconomic variables such as education, social status, and security concerns of the users, and user ratings. Unlike existing carpooling applications that primarily depend on cost and destination to offer ride options, the proposed application further developed to consider the model of the vehicle for fare calculation.
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Indoor Autonomous Multi-Robot Communication System
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Gunawardhana, K.D.W.; Kularathana, D.G.D.P.; Welagedara, W.H.; Palihakkara, H.E.; Abeygunawardhana, P.K.W.; Wellalage, S.
Robotics, and automation systems are a hot issue right now. Controlling multiple robots at the same time has become very popular. On paper, we propose that a wireless robot-to-robot communication infrastructure be implemented to accomplish some specific tasks. The major goal of this proposed project is to showcase communication infrastructure, a dual manipulator system and a mobile charging dock robot have been designed to achieve this. Special topics and services were employed for communication infrastructure. It is more precise than current communication systems. Existing manipulation situations are limited to a single manipulator task; however, in this case, a dual manipulator task has been designed to work corporately. The charging docking stations are the only places where mobile robots may recharge. We presented a Mobile Charging Dock for recharging mobile robots in this project. This proposed project is introducing a secure communication strategy which uses a ROS topic filtering mechanism.