Abstract

Traditional agriculture is the most practiced form of agriculture around the world. Conventional agriculture depends on applying harmful chemicals to the soil and plants, which are mostly synthetically formulated in a laboratory. A modern approach is known as Precision Agriculture (PA) has been introduced in the last two decades produce healthier crops and higher yields compared to conventional agriculture. By using precision agriculture, the farmers can improve their farming techniques and solve decades-old problems. From the study, plants suffering from a lack of N and K show decreasing photosynthetic activity and plants’ abilities to resist disease, leading to reduced crop yield quality and overall quantity. To solved this, the assessment and data analysis for N and K is required. This study aims to get the accurate value of N and K fertilizer used in the field to help restore the ecosystem and optimize yield while remaining environmentally sustainable. The fertilizer A and B will fill and mix into the aqueous solution, then proximal soil sensing ISE sensor will measure the concentration of Nitrate and Potassium ions in aqueous samples. The feedback signal from the ISE sensor will enter the Raspberry Pi controller and analysed through the Internet of Things (IOT) platform using the Node Red and Phyton simulation. Lastly, the data will be processed and monitored through the LCD. The evaluation performance and the result of the ISE Sensor will be validated using a correlation method. The correlation of the soil sensor and the lab analysis has shown that the right amount of NK fertilizer can help the farmer to manage the plant in the field.

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