Open AccessNutrition Deficiency Detection in Leaves Using K-Means Clustering Algorithm
Author(s) -
S. Shalini,
J. Muruganandham,
R. Jayasri
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1717/1/012003
Subject(s) - cluster analysis , nature versus nurture , segmentation , cluster (spacecraft) , k means clustering , computer science , foundation (evidence) , algorithm , similarity (geometry) , artificial intelligence , image (mathematics) , biology , geography , archaeology , genetics , programming language
Plants are dreadfully significant slice of our den and acts as an hefty foundation of energy. They’re the intrinsic a part of a group of baffle to mapped out the difficulty of worldwide heating. They enforce the desirable arrangement of nutrients to continue, nurture and reproduce. quite few genera of deficiency are submit in plants. Nitrogen is one among the gorgeous marble and a foremost element of amino acids that acting an important responsibility in crop invention. K-means clustering algorithm is used for segmentation which classifies substance that chains cluster of facial appearance into K figure of curriculum and within the end classification is performed by means of K-means classification. So image dispensing routine is used for business meeting deficiency on foliage untimely and accurately.