Abstract
This study proposes an automated soil tester to test the soil for agricultural purposes. The contribution of the computer science to agriculture is essential for the sustainability of human being in the world by keeping the food production up to a satisfactory level. The automation technique is a suitable and efficient solution to overcome difficulties in agriculture. This technique will increase the productivity and reduces the hardness of human effort in the field. The traditional soil testing mechanism has many difficulties and drawbacks such as time-consuming, poor knowledge of sample collection and variation in laboratory results compared to field results. The proposed automated soil tester will be the solid solution to overcome the problems of the traditional soil testing mechanism. The device has a temperature, moisture and pH sensors to measure the soil parameters such as temperature, water level, electro conductivity and pH. The automated soil tester will be able navigate in the given area of the field with the guidance of GPS and it is capable of avoiding obstacles in the filed. The data sensed will be sent to a website to get visualized and will stored in a database.
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Kovelan, P., Kartheeswaran, T., Thisenthira, N. (2019). Automated Soil Tester. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_26
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DOI: https://doi.org/10.1007/978-981-13-9187-3_26
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