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Title: :  EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE
PaperId: :  5321
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5321
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vivek UgaleSiddhant college of engineering, pune
Prof. Deepak GuptaSiddhant college of engineering, pune

Abstract

Computer Engineering
Nutrient deficiency, Visual symptoms, feature extraction, decision tree
Agriculture is most important occupation in India because population of india increasing exponentially. To fulfill food requirement of 12.5 billion population of India, researchers are doing study on how to increase efficiency of agricultural crop yield by early detection of any disease, minimizing impact of disease by taking preventive measures on arising problem. Nutrients are very important for crop and any insufficiency causes to disease which affect crop yield very drastically. There are 15 nutrients out of which 12 nutrient deficiencies occur in plant. Existing systems are very time consuming, not possible over large field area and less efficient. As we are computer researchers, our main objective of this work is to recognize nutrient deficiency of agricultural crop using computer technology. For this research work, we use smart phone camera to take image of infected agricultural crop leaf for processing. For extracting features more accurately, we applied color based segmentation on captured crop leaf image. Extracted color features are converted into discrete attributes. We converted captured leaf information in discrete attributes like age of leaf, primary color etc. For classification, we use decision tree C4.5 algorithm. Decision tree is trained by database created by experienced farmer and agricultural expert. For finding nutrient deficiency, we traverse tree with extracted attributes. We implemented system which recognizes nutrient deficiency successfully. In this paper, we described our system, its results and efficiency as well as advantages. Our system successfully recognize nutrient deficiency real time since it recognize nutrient deficiency on the spot, time efficient, easy to use by farmers, provide remedial solution and can applied over any agricultural crop and removes drawbacks of existing systems.

Citations

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IJARIIE Vivek Ugale, and Prof. Deepak Gupta. "EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 1550-1557
MLA Vivek Ugale, and Prof. Deepak Gupta. "EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 1550-1557.
APA Vivek Ugale, & Prof. Deepak Gupta. (2017). EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 1550-1557.
Chicago Vivek Ugale, and Prof. Deepak Gupta. "EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 1550-1557.
Oxford Vivek Ugale, and Prof. Deepak Gupta. 'EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 1550-1557. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/EFFICIENT_RECOGNIZING_NUTRIENT_DEFICIENCY_OF_AGRICULTURAL_CROP_USING_C4_5_DECISION_TREE_ijariie5321.pdf (Accessed : 09 December 2017).
Harvard Vivek Ugale, and Prof. Deepak Gupta. (2017) 'EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 1550-1557IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/EFFICIENT_RECOGNIZING_NUTRIENT_DEFICIENCY_OF_AGRICULTURAL_CROP_USING_C4_5_DECISION_TREE_ijariie5321.pdf (Accessed : 09 December 2017)
IEEE Vivek Ugale, and Prof. Deepak Gupta, "EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 1550-1557, May-Jun 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/EFFICIENT_RECOGNIZING_NUTRIENT_DEFICIENCY_OF_AGRICULTURAL_CROP_USING_C4_5_DECISION_TREE_ijariie5321.pdf [Accessed : 09 December 2017].
Turabian Vivek Ugale, and Prof. Deepak Gupta. "EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 (09 December 2017).
Vancouver Vivek Ugale, and Prof. Deepak Gupta. EFFICIENT RECOGNIZING NUTRIENT DEFICIENCY OF AGRICULTURAL CROP USING C4.5 DECISION TREE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 09 December 2017]; 3(3) : 1550-1557. Available from: https://ijariie.com/AdminUploadPdf/EFFICIENT_RECOGNIZING_NUTRIENT_DEFICIENCY_OF_AGRICULTURAL_CROP_USING_C4_5_DECISION_TREE_ijariie5321.pdf
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