Open AccessWeb App Analysis and Identification of Macro Nutrients of Leaf
Author(s) -
R B K Bruffen
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35268
Subject(s) - identification (biology) , computer science , nutrient , agriculture , macro , process (computing) , cluster analysis , agricultural engineering , database , artificial intelligence , botany , operating system , biology , engineering , ecology , programming language
India is an agricultural country. Farmers are experiencing great difficulties in managing the fertilizer usage and decease rectification. Non-destructive nutrient deficiency analysis provides effective tool support for precise farming. According to the plant nutrition mechanism, leaf characteristics displays different changing trends under nitrogen (N) deficiency. In this paper the technique presented is for detection of macro nutrients and diseases identification in leaf. In this study, the dynamic capture of leaf by scanning was used to research the changing regulation of leaf characteristics under nutrient deficiency. The samples must be taken under the shadow of farmer. The work begins with capturing the images. From the captured images RGB components are extracted by segmentation process using K-Means clustering algorithm. In this process are host them using MATLAB web app serve, here end user can access and run this web app using browser without installing additional software.