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<root>
    <author>ENA</author>
    <category>Sectors</category>
    <date>2025-10-09 15:37:25</date>
    <fulldesc>&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;&lt;strong&gt;New Delhi, Oct 9 (KNN)&lt;/strong&gt; MeitY launched a sensor-based odour monitoring device developed by C-DAC, Kolkata, for applications in municipal solid waste (MSW) sites, industrial waste facilities, and landfill areas. &lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;Equipped with a photoionisation detector and electrochemical gas sensors, the device enables real-time detection and control of odour-causing gases. It is compact, portable, and designed for high sensitivity and environmental compliance monitoring.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;S. Krishnan, Secretary, Ministry of Electronics and Information Technology (MeitY), announced the transfer of technology for multiple electronics and IT-based solutions &amp;mdash; including a dairy health monitoring system, a crop quality detection system, and a sensor-based odour monitoring device designed for waste management and industrial use.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;The technologies have been developed under AgriEnIcs, a national programme of MeitY focusing on research, development, deployment, and commercialisation of technologies in the agriculture and environment domains. &lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;The initiative is being implemented by the Centre for Development of Advanced Computing (C-DAC), Kolkata, as the nodal agency, with participation from leading academic institutions, R&amp;amp;D organisations, and industry partners.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;Technology for the Electronics-based Dairy Solution, jointly developed by C-DAC (Kolkata), IIT Kharagpur, and ICAR-NDRI, Kalyani, was transferred to M/s Handholders Global, Bhubaneswar. &lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;The package includes two innovations &amp;mdash; the Go-P cattle health monitoring system and the MAST-D mastitis detection device.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;The Go-P system is a wearable, collar-mounted device designed to monitor real-time physiological temperature changes in cattle to predict their heat cycle for artificial insemination. &lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;The MAST-D device detects mastitis infection in cattle milk through electrochemical analysis of ion concentrations, offering a fast, accurate, and cost-effective method for improving milk quality and dairy productivity.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;The technology package for horticulture and grain quality analysis, developed by C-DAC (Kolkata) in collaboration with ICAR-IARI, New Delhi, and the Food Corporation of India (FCI), was transferred to M/s AgNext Technologies Pvt. Ltd., Punjab. &lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;The suite includes three systems &amp;mdash; Grain-Ex, CT-VIEU, and RIGE-Sense &amp;mdash; designed to assess the quality of pulses, dry red chillies, and rice, respectively.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;Grain-Ex is an AI-powered, conveyor-based imaging system that automates the visual inspection of pulses and cereals, assessing parameters such as damage, immaturity, foreign matter, and purity across various crop types. &lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;CT-VIEU utilises a vibration-assisted conveyor and imaging unit to analyse dry red chillies in real time, delivering detailed quality reports through an intuitive graphical interface. &lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;span style=&quot;font-size:14px&quot;&gt;RIGE-Sense combines machine vision, AI/ML algorithms, and automated chemical analysis to determine the age and quality of rice, providing a faster and more objective alternative to conventional manual testing methods.&lt;/span&gt;&lt;/p&gt;&#13;
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&lt;p&gt;&lt;em&gt;&lt;strong&gt;&lt;span style=&quot;font-size:14px&quot;&gt;(KNN Bureau)&lt;/span&gt;&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;&#13;
</fulldesc>
    <id>43749</id>
    <link>https://knnindia.co.in/news/newsdetails/sectors/meity-launches-sensor-based-odour-monitoring-system-transfers-technology-for-dairy-crop-quality-solutions</link>
    <pubDate>2025-10-09 15:37:25</pubDate>
    <source>knnindia.co.in</source>
    <title>MeitY Launches Sensor-Based Odour Monitoring System; Transfers Technology For Dairy &amp; Crop Quality Solutions</title>
</root>
