Innovative Way for Recognizing Nutrient Insufficiencies in Agricultural Crop Using Computer Vision
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Many countries in the world are developing countries. Such developing countries’ main revenue source is agriculture. Agriculture occupation has many problems like irregular water supply, increased temperature as well as extreme changing environment. Because of Less agricultural knowledge and less availability of agricultural expert, productivity of agricultural crop yield is decreased. To increase the productivity of agricultural yield, computer researchers are finding various techniques to solve agricultural problems using computer intelligence. Nutrient insufficiency is one of the problems which nutrient level if not satisfactory then crop self immune power decreases, results in crop got easily attacked by various disease and pest and reduce productivity as well as yield of crop. To find solution for nutrient insufficiency problem, we developed a computer vision system which takes input of nutrient insufficiency presented on leaf with image captured by smart phone camera. Interested leaf area is extracted by using canny edge detection algorithm. Using Euclidian distance between colors, color based segmentation performed on interested leaf part according to insufficiencies color characteristics. Color features are converted into discrete attributes. These features are passed to classification decision tree algorithm. After decision tree traversal, system recognizes nutrient insufficiency successfully. Experimental results of our system show that our system identifies nutrient insufficiency accurately and removes drawbacks of existing systems.
Authors and Affiliations
Vivek Ugale, Prof. Deepak Gupta
Keywords
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