Abstract
In Sri Lanka many problems have to be dealt with, to be a successful farmer. Poor weather prediction, crop-raiding by wildlife animals and poor agricultural management are some of the main problems the farmers have been dealing with for a long time [1]. We were looking forward to providing a solution for the farmers on the above-mentioned issues. Currently, Farmers cultivate crops based on their past experience. This is turning out to be difficult because of the changes in weather patterns due to industrialization and global warming. We realized this could be overcome by an application that could process the data present in the agricultural and meteorological departments and give farmers insights about weather changes. Crop-raiding is another problem that farmers need to face in Sri Lanka. Farmers use traditional methods as fencing to prevent these attacks. But still, the wildlife intrusions happen over a broken fence [2]. The time taken to notify farmers regarding these problems ensures that the damage has already been done by the time they are informed. As a solution, we are proposing to implement a system to identify the animals and notify the farmer as soon as possible. Poor agricultural management implies a lack of knowledge about diseases, agrochemicals, and poor planning on cultivation [3]. We are planning to improve this situation by gathering information regarding these and provide that information to farmers collectively through an application. The final output of our research would be an application including a weather prediction, wildlife intrusion detection, and a sentimental analytical chatbot together
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Acknowledgment
We would like to extend our heartfelt gratitude towards those who have supported us with this research and in many ways. Last but not least we would like to take this opportunity to thank Sri Lanka Institute of Information Technology (SLIIT) for lending us a suitable environment. We are grateful immensely to all who supported and guided us throughout this research.
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Tharmaseelan, J., Aaran, S.V., Ravipprasath, D., Jayapragash, P. (2021). Security Smart Farming System – AgriPro. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies. WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1368. Springer, Cham. https://doi.org/10.1007/978-3-030-72654-6_6
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