Published April 12, 2019 | Version v1
Journal article Open

Smart Farming using Seed Prediction Based on Available Datasets

  • 1. UG Student, Department of Computer Engineering, University of Pune, Pune, Maharashtra, India
  • 2. H.O.D. Department of Computer Engineering, University of Pune, Pune, Maharashtra, India

Description

Everyone nowadays focus mainly on the growth of the plant and the main thing has been ignored, which is the selection of seed.Selection of good seeds from different varieties of available seeds is a tedious task and the selection depends upon various factors such as soil type, yield, diseases etc. Every seed also have its own properties, which affects the growth of the plant in various terrain. So in this paper, the structure of Linguistic Fuzzy Decision Network (LFDN) method is used to determine best quality of seeds. As when the decision are needed to be made depending upon more than one factor, then decision making become very tedious. So to handle this situation, we have undergone through many algorithm and Linguistic Fuzzy Decision Network had been the best.

Files

(19-22)Smart Farming.pdf

Files (129.2 kB)

Name Size Download all
md5:a420cac3f799ed773252bfa6b5840801
129.2 kB Preview Download

Additional details

References

  • S.Siva Ram Murthy, B.S. Manu (2004), "Ad Hoc Wireless Networks Architecture and Protocols". Second Edition. Pearson Publications
  • Qin Z. (2016). Precision agriculture technology for crop farming. Taylor & Francis Group, LLC
  • A. Tyagi, A. A. Reddy, J. Singh, S. R. Choudhary (2011), "A low cost temperature moisture sensing unit with artificial neural network based signal conditioning for smart irrigation applications," International Journal on Smart Sensors and Intelligent Systems,Volume 4, Issue 1, pp. 94–111
  • Axelson (2006), "Embedded Ethernet and Internet Complete Designing and Programming Small Devices for Networking", Third Edition
  • Grewal, Mohinder S. Kalmanfiltering(2001), Theory and practice. 2nd ed. New York :John Wiley

Subjects