Abstract
This research is focus on developing a cost-effective and reliable Standstill Monitoring System (SMS) from entire concepts of smart farming system. The SMS architecture consists of several modules of sensors, wireless communication with the integration of normalized difference vegetation index (NDVI) imaging to analyze the health condition of a mango tree or any fruit bunch in terms of nutritional value and nutrition-deficiency related disease. The components are attached to a customized tripod, where the tripod then be placed at a mango farm for example, or any fruit bunch before crop harvesting process application. The system not only monitors the farm environment but also transmit data remotely as well as receive user’s input. To further enhance the data analysis, an expert’s advice is also taken into account regarding the age of mango trees as a case studies, moreover, the selection of type of fertilizer and type of soil is recorded for references in entire harvesting process. This ongoing project is still in prototype development stage and parameters and variables occur while the growing mango tree or any fruit bunch from initial stage of production, the emergence of portable and affordable but effective SMS for smart farming system would allow farmers to monitor their mango farm or any fruit bunch at distance while reaping the benefits.
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The authors would like to acknowledge USM grant RUI 1001/PAERO/8014035.
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Shatir, S.M.N.B.S., Ismail, A.H., Akhtar, M.N., Abdullah, M.N., Bakar, E.A. (2022). Development of Standstill Monitoring System (SMS) for Inhouse Agriculture Product Application. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_130
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DOI: https://doi.org/10.1007/978-981-16-8129-5_130
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