| Use of Machine Vision for Distinguishing among Crop Varieties | |
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| Objective: | |
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To develop methodology for distinguishing among varieties/
germplasm of rice, Indian mustard, chickpea and okra
using visible imaging.
To optimize imaging and image processing parameters under visible spectral domain. |
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| Description: | The Government of India decided to establish a National Fund for Basic, Strategic and Frontier Application Research in Agriculture (NFBSFARA) supporting basic and strategic research under the ICAR with the objective to build capacity for basic and strategic research of national and long-term importance to break yield and quality barriers and make India a global leader in research. Details about the National Fund are available at http://www.icar.org.in/nfbsfara/index.html. The National fund has awarded a research project titled "Use of machine vision for distinguishing among crop varieties" with Central Institute of Agricultural Engineering, Bhopal as lead institute and Indian Agricultural Research Institute, New Delhi; National Bureau of Plant Genetic Resources, New Delhi; and Center for Development of Advanced Computing, Kolkata as co-operating institutes. The project is based on a principal hypothesis that "Distinct signatures to account varietal characteristics can be generated using electromagnetic sensors and machine vision techniques" and attempts have been initiated to identify distinct characteristics of selected varieties of Rice, Chickpea, Mustard and Okra. |
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