Abstract
Rice is the major source of food here in the Philippines but pests and diseases damaging the crops leave with a lesser quality harvest. The nutrient such as Nitrogen (N), Phosphorus (P), and Potassium (K) contents of the soil is also important as to its right amount. The study is a point-of-service kiosk helping farmers avoid inaccurate leaf color reading. This benefitted all farmers in the province of Bataan and the region where most of the living is obtained from agricultural farms. This is a technological solution to the quality of crops before harvest by analyzing (N) level of deficiency. Here, farmers get close to the accurate quantified level of deficiency and recommend a substantial amount of fertilizer. It implements an RGB color mapping technique in pest and disease identification and Chi-squared distance comparison on RGB histogram in the image detection. Testing and calibration were done by comparing the sample data to standard laboratory results that show a detection accuracy of at least 95%. The production yield of the crops shall improve while decreasing the production cost. This serves as a virtual agricultural technician (VAT) accessible to the farmers. Information is available via internet connectivity with response good enough providing quick answers to queries.
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