An approach to detect the nitrogen deficiency of paddy crop on agriculture farm using digital image processing

Abstract

Unbalanced and immoderate use of fertilizers results in environmental pollutants main to loss of plant habitat. Moreover, excessive fertilizer use additionally increases the expenses for farmers. Applying nutrients at the right time and in appro priate amounts is important for flowers and the encompassing environment. The intensity of the leaf colour of the rice plant is without delay associated with the chlorophyll content material of the leaf and the nutrient content of the leaf. The look at of agronomy, the issue of agricultural technological know-how, indicates that approximately 10 types of vitamins are required for the paddy plant, out of which 3 are primary vitamins (Nitrogen [N], Phosphorus [P], and Potassium [K]) and there are seven secondary nutrients (Iron [Fe], Manganese [Mn], Copper [Cu], Zinc [Zn], Boron [B], Molybdenum [Mo], and Chlorine [Cl] ).The concept of using leaf shade as a sumbol to apply N in rice was crystallized at some stage in the 1990. The International Rice Research Institute and the Philippine Rice Research Institute have advanced a leaf shade chart (LCC) that facilitates manual farmers for actual-time nitrogen control in rice farming. This era is cheap and easily available to most useful resource-poor rice farmers. In 2003 we initiated farmer-participatory studies to validate actual-time N management in rice the usage of LCC in the nation of West Bengal, India. After 3 years of validation studies, a survey became carried out to evaluate LCC adoption and impact. The survey changed into conducted in each the intervention and adjacent control villages and information turned into collected from 20% randomly decided on agricultural families. In this paper, we document the findings of a take a look at at the determinants of LCC adoption and its effect on nitrogen fertilizer use with the help of DIP & ML.