Prediction of Crop Fertilizer Consumption

Agriculture is the major factor contributing to Indian Economy. According to the statistics its GDP sector composition is 17.9%. India is the second larger producer of agricultural products. In order to produce more agricultural products without any wastage, technical advancements are required in this domain. In research of identification of nitrogen deficiency and prediction of fertilizers consumption by chilly, the images of chilly was captured at two stages. Leaf part of plant is prime factor in identification of nitrogen deficiency. During identification of deficiency various features like texture feature, area of the leaf etc of leaf image are extracted. Feature Extraction is the main key for the identification of deficiency of nitrogen. The farmers usually have little control over the usage of fertilizers. There is need for proper guidance for optimal usage of these fertilizers and is required by farmers in order to get more yields and prevent wastage. Research works carried out so far only identify the nutrient deficiency and disease detection. The proposed work identifies the nitrogen deficiency in chilly, determines the area of region of deficient region and predicts the amount of fertilizer consumption by these deficient plants. Thus the identification of nutrient deficiency is helpful to farmer for proper monitoring of crop growth and optimum usage of fertilizers.