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July Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the July 2021 Edition of the journal. The last date of research paper submission is June 15, 2021.

An Efficient Method for Soil Analysis using FARM-IT Approach

Melvin Martis, Paul Lobo, Shreesh Chavan. Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Melvin Martis, Paul Lobo, Shreesh Chavan
10.5120/ijais2016451618
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  1. Melvin Martis, Paul Lobo and Shreesh Chavan. Preventing SQLIA using ORM Tool with HQL. International Journal of Applied Information Systems 11(6):16-19, November 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451618,
    	author = "Melvin Martis and Paul Lobo and Shreesh Chavan",
    	title = "Preventing SQLIA using ORM Tool with HQL",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "November 2016",
    	volume = 11,
    	number = 6,
    	month = "Nov",
    	year = 2016,
    	issn = "2249-0868",
    	pages = "16-19",
    	numpages = 4,
    	url = "http://www.ijais.org/archives/volume11/number6/947-2016451618",
    	doi = "10.5120/ijais2016451618",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

Agriculture has benefited from improvement in data mining and automation, in recent times. Based on training dataset, this paper suggests a data mining method to analyze soil content such as pH, Field Capacity, Wilting Point, Nitrogen, Potassium, Phosphorus, etc. and helps determine the amount of fertilizer required. Additionally, an irrigation facility based on automated detection of moisture can help optimize the use of water. This system uses a server. The sensors output to server through a distributed network connected wirelessly via a tool such as, ZigBee. This project aims at optimizing the use of fertilizer and water, and accordingly, suggest proper actions.

Reference

  1. Department of Agril. Chem. & Soil Science, Dr.B.S. Konkan Krishi Vidyapeeth, Dapoli, Dist. Ratnagiri., MH, IN.
  2. Nagarajapandian M , Ram Prasanth U , Selva Kumar G, Tamil Selvan S, “Automatic irrigation system on sensing soil moisture content”, International Journal Of Innovative Research In Electrical, Electronics, Instrumentation And Control Engineering, Vol. 3, Issue 1, January 2015.
  3. Jay Gholap, “Soil Data Analysis Using Classification Techniques and Soil Attribute Prediction” Asian Journal of Computer Science and Information Technology Vol. 2(8) (2012) pp. 251– 252.
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  7. Hitarthi Bhatt, Shraddha Mehta, Lynette R. D'mello, Dept. of Computer Engineering, D.J. Sanghvi College of Engineering, “Use of ID3 Decision Tree Algorithm for Placement Prediction” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (5), 2015, 4785-478
  8. Haiyi Zhang, Di Li Jodrey School of Computer Science Acadia University, Canada, “Naïve Bayes Text Classifier” 2007 IEEE International Conference on Granular Computing DOI 10.1109/GrC.2007.40
  9. Ray, S (2015, September 13). 6 Easy Steps to Learn Naive Bayes Algorithm (with code in Python). Retrieved from https://www.analyticsvidhya.com/blog/2015/09/naive-bayes-explained/

Keywords

Naïve Bayes, Iterative Dichotomiser 3 (ID3), WEKA tool, Data mining, NPK values, Decision tree, Algorithms