Development of a Smart Soil Nutrient and Water Level Analysis System for Different Land Use Options Using Internet of Things (iot)

An experiment was conducted to study soil analysis methods (conventional laboratory and a smart soil analyses) on nutrient mining and availability under different land use patterns; Arable Land (AL), Cocoa Plantation (CP), Oil palm Plantation (OP) and Forest (FR) at Ile-Oluji in the rain forest zone of Nigeria. The conventional soil test is faced with different challenges and may fail to be effective since it takes more time to get the results and it is difficult to take the regular tests during the single crop life time. Smart soil analyzer was designed, developed and compared with the conventional laboratory soil analysis. Coordinate data (Northings, Eastings and Elevation) of the fifteen (15) Sampling Points were taken with the Global Positioning System (GPS) receiver, forty five (45) soil samples were collected at three different depths 0 - 15, 15 – 30 and 30 – 75 cm using soil auger, bulked for different depths, air dried and prepared for laboratory analysis to determine soil N, P, K, pH and MC while developed smart soil analyzer was used to determine the selected soil properties at three different depths. Both the results from the conventional laboratory and smart soil analysis were compared. Values of soil N, P, K, pH and MC obtained showed no significant difference at different depths across the four land use patterns. The developed smart soil analyzer is recommended for the determination of soil MC, pH, N, P and K.