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3 AGRI WORK final review slides.pptx

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3 AGRI WORK final review slides.pptx

  1. 1. DESIGN AND ANALYSIS OF MULTISPECTRAL CAMERA IMAGING FOR PRECISION AGRICULTURE Dr.A.K.Gnanasekar Professor Department of ECE RIT. Chennai.
  2. 2. Abstract To make agricultural practices more accurate and precise an advance design and analysis procedure using multispectral camera is followed. The RGB and NIR imaging techinques are used to analyse the crops irrigation and growth rate by locating the area using GPS achieveing more than 40% yield of early practice.
  3. 3. Literature Survey Title: MDE based development of multispectral camera for precision agriculture Author: D.Doering,M.R.Vizzotto,C.E.Pereira Paper published: IFAC Conference (pg.24-29)(2016) Abstract: Precision Agriculture in conjunction with Variable Rate Technology aims at increasing productivity while reducing resource usage (water, fertilizers, pesticides and others). UAV system is a work sensor which includes RGB,infrared, multispectral and hyper spectral camera. These aforementied camera are comptaible with open source hardware ,namely Rasberry pi boards, that are used to collect process and store information. Reference: [1] Behnck, L. P., et al. (2015) "A Modified Simulated Annealing Algorithm for SUAVs Path Planning". In: 2nd IFAC Conference on Embedded Systems, Computer Intelligence and Telematics CESCIT 2015, 2015, Maribor. IFAC-Papers OnLine, 2015. v. 82. p. 63-68.
  4. 4. Literature Survey Title: Precision Agriculture Applications using Wireless Moisture Sensor Network Author: Ibrahim Mat, Mohamed Rawidean Mohd Kassim, Ahmad Nizar Harun Paper published: 2015 IEEE 12th Malaysia International Conference on Communications (MICC), Kuching, Malaysia (23 - 25 Nov 2015). Abstract: Improper irrigation will result in waste of water. Proper irrigation system could be achieved by using Wireless sensor networks (WSN) technology. In this paper, we describe the overall system design, system architecture, implementation, system test results of WMSN for PA in a greenhouse. References: [1] C. Alippi, R. Camplani, C. Galperti and M. Roveri, "A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring," in IEEE Sensors Journal, Vol. 11, No. 1, pp. 45-55, 2011. [2] Zhou, Q. Y., J. Shimada, and A. Sato, “Three- dimensional spatial and temporal monitoring of soil water content using electrical resistivity tomography”, Water Resource Res., 37, 273 – 285, 2001.
  5. 5. Literature Survey Title:Multispectral NDVI aerial image system for vegetation analysis by using a consumer camera Author:Barreiros Jose, Magne Nicolas,Chavez Danilo, Avalos Eduardo Paper published: IEEE 2014 Abstract: The Normalized Difference Vegetation Index (NDVI) has been used for quantify the health and status of vegetation in a specific zone. This work present the methodology for develop, calibration and test of a multispectral NDVI image system for aerial platforms. HMI, camera position control, trigger, zoom and multispectral images processing are done with code written in MATLAB . Reference: [1] R. B. F. G. H. P. S. a. A. M. Myneni, “The interpretation of spectral vegetation indexes”, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 481-486, 2009. [2] N. E. Observatory, “Measuring Vegetation (NDVI & EVI) MODIS,” 2010.
  6. 6. Literature Survey Title:Data collection and analysis methods for data from field experiments Author: S.Shibusawa and C.Hache(2000). Paper published:Internation Conference (20-24). Abstract: The main motivation for the fied experiment to achive the goals of new methods and device data collection in a agriculture. More advanced data analsis method are helping to more accurate and decision support in agriculture. References: [1] Dkye,(1998) “comparitive experiment with field crops”,pg.262. Reyns,(2002) B.Ramon, H.De.Baerdemaker, “precision agriculture”.
  7. 7. Problem Identification  High camera cost  Complex coding  Large processing time  Un – Reliable  Tough To use  Not Made For Field Use (Lab research oriented System).
  8. 8. Objective  Customised camera design.  Embedded oriented system .  Acquisition data about field processed in less time.  Simultaneous data acquisition using JAVA SE Embedded Unlike other projects where MATLAB is Used.  Due to usage of LINUX DEBIAN OS(ARM-V7) , it is ROBUST , LOW-COST and EXPANDABLE.
  9. 9. Design & Block Diagram RGB NIR CSI/DSI interface LED panel PSOC Illumination sensor Display Ethernet interface USB memory
  10. 10. Schematic Diagram
  11. 11. Module
  12. 12. Output Raw Images NIR : RGB: •
  13. 13. NDVI(Normalized Vegetative Index Image) Mono-Chrome: Color:
  14. 14. Geo tagged GPS data from cp2102 UART interface chip for 2nd map stitching and generation , used for large area survey
  15. 15. References [1] Behnck, L. P., et al. (2015) "A Modified Simulated Annealing Algorithm for SUAVs Path Planning". In: 2nd IFAC Conference on Embedded Systems, Computer Intelligence and Telematics CESCIT 2015, 2015, Maribor. IFAC-PapersOnLine, 2015. v. 82. p. 63-68. [2] C. Alippi, R. Camplani, C. Galperti and M. Roveri, "A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring," in IEEE Sensors Journal, Vol. 11, No. 1, pp. 45-55, 2011. [3] Zhou, Q. Y., J. Shimada, and A. Sato, “Three- dimensional spatial and temporal monitoring of soil water content using electrical resistivity tomography”, Water Resource Res., 37, 273 – 285, 2001. [4] R. B. F. G. H. P. S. a. A. M. Myneni, “The interpretation of spectral vegetation indexes”, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 481-486, 2009.
  16. 16. Thank you

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