Discipline | Computer Application in Agriculture
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Date of entry in ICAR: | Scientist 01-09-2000 Scientist(7000) 01-09-2006 Scientist(8000) 01-09-2011 Scientist (9000) 01-09-2014 |
Research interests and current focus: | Database Management, Remote Sensing and GIS, Artificial Neural Network and Data Science.
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Research Experienced (in years): | 21 Years
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e-mail Id: | d.karunakaran@icar.gov.in
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Mobile No | +91 7063906903
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Agricultural Information Sharing and Knowledge Generation Towards Sustainable Management of Island Ecosystem by Developing Mobile Apps-(PI)
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Identification of Genome-Wide Molecular Signatures Responsible for Higher Fecundity in Andaman Local Goats.-(Co-PI)
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Enhancing Fisher Resilience, Livelihood and Knowledge through Marine Fisheries Information Hub for Nicobari Tribes of Car Nicobar Island (External Funded)(Co-PI).
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Resource Inventory and database development in Inland Fisheries through Remote Sensing Techniques | |
Developing fish based indicator tools for environment monitoring | |
Resource Inventory and database development in Inland Fisheries through Remote Sensing Techniques | |
Development of Rapid Assessment Protocols for Riverine Health Assessment | |
Quantification of Environmental Flow in Selected Rivers for Sustenance of Ecology and Fisheries | |
Nutrient Profiling and Evaluation of Fish as a Dietary Component | |
Development of Biotechnological Tools for Inland Aquatic Ecosystem Health Assessment | |
Fisheries Resource Assessment and refinement of enhancement protocol through participatory mode in selected reservoirs of India | |
Best Oral presentation in Eighth Indian Fisheries Forum held on November 22-26, 2008
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Journals
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D. Karunakaran and M. Balakrishnan(2021).Prediction of Fish Production in Tamil Nadu Reservoirs Using Artificial Neural Network (ANN) International Journal of Advanced Research and Communication Engineering. Vol No.10(2), February 2021. DOI 10.17148/IJARCCE.2021.10205 | |
Karunakaran, D., Sanjeev kumar Sahu, Arun Pandit and A. P. Sharma (2019). Assessment of chlorophyll and water quality using remote sensing and GIS imagery in the Cauvery watershed of Karnataka, India. Indian Journal of Fisheries. 66 (2): 43-48. | |
Bimal Prasanna Mohanty, Satabdi Ganguly, Arabinda Mahanty, Tandrima Mitra, Sinjini Patra, D. Karunakaran, Suseela Mathew, Kajal Chakraborty, B.N. Paul, D. Sarma, Syama Dayal, Shivadhar Singh and S. Ayyappan (2019). Fish in human health and nutrition. Advances in Fish Research, Vol.VII, Pages 189–218. Narendra Publishing House, Delhi, India. | |
D. Karunakaran and M. Balakrishnan (2019). Prediction of Fish Yields in Lakes and Reservoirs from simple Empirical Models using Artificial Neural Network (ANN): An Review. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. IJSRCSEIT | Volume 5 | Issue 1 | ISSN: 2456-3307. DOI : https://doi.org/10.32628/CSEIT195110 | |
Mohanty, B.P., Mahanty, A., Ganguly, S., Mitra, T., Karunakaran, D., & Anandan, R. (2019). Nutritional composition of food fishes and their importance in providing food and nutritional security. Food Chemistry. Vol.293: 561-570. | |
Mohanty, Bimal Prasanna, Tandrima Mitra, Sudeshna Banerjee, Soma Bhattacharjee, Arabinda Mahanty, Satabdi Ganguly, Gopal Krishna Purohit, Dhanasekar Karunakaran, and Sasmita Mohanty. "Proteomic profiling of white muscle from freshwater catfish Rita rita." Fish physiology and biochemistry 41, no. 3 (2015): 789-802. | |
Arun Kumar De, Ramachandran Muthiyan, Perumal Ponraja, K. Muniswamy, Jai Sunder, A. Kundu, D. Karunakaran, Zachariah George, M.S. Kundu, S.K. Zamir Ahmed, Dhruba Malakar, D. Bhattacharya (2019). Mitogenome analysis of Indian isolate of Rhipicephalus microplus clade A sensu (Burger et al., 2014): A first report from Maritime South-East Asia. Mitochondrion, 49: 135-148. | |
Bimal Prasanna Mohanty, Satabdi Ganguly, Arabinda Mahanty, T.V.Sankar, R.Anandan, Kajal Chakraborty, B.N.Paul, Debajit Sarma, J.Syama Dayal, G.Venkateshwarlu, Suseela Mathew, K.K.Asha, D.Karunakaran, Tandrima Mitra, Soumen Chanda, Neetu Shahi, Puspita Das, Partha Das, Md Shahbaz Akhtar, P.Vijayagopal, and N.Sridhar (2016). DHA and EPA Content and Fatty Acid Profile of 39 Food Fishes from India. BioMed Research International, vol. 2016, Article ID 4027437, 14 pages, 2016. doi:10.1155/2016/4027437. | |
De AK, Muthiyan R, Mondal S, Mahanta N, Bhattacharya D, Ponraj P, Muniswamy K, Kundu A, Kundu MS, Sunder J, Karunakaran D. (2019). A Natural Quinazoline Derivative from Marine Sponge Hyrtios erectus Induces Apoptosis of Breast Cancer Cells via ROS Production and Intrinsic or Extrinsic Apoptosis Pathways. Marine drugs. Dec, 17(12):658. | |
Mahanty, Arabinda, Gopal Krishna Purohit, Sudeshna Banerjee, Dhanasekar Karunakaran, Sasmita Mohanty, and Bimal Prasanna Mohanty. "Proteomic changes in the liver of Channa striatus in response to high temperature stress." Electrophoresis 37, no. 12 (2016): 1704-1717. | |
Bimal P. Mohanty, T. V. Sankar, Satabdi Ganguly, Arabinda Mahanty, R. Anandan, Kajal Chakraborty, B. N. Paul, Debajit Sarma, J. Syama Dayal, Suseela Mathew, K. K. Asha, Tandrima Mitra, D. Karunakaran, Soumen Chanda, Neetu Shahi, Puspita Das, Partha Das, Md Shahbaz Akhtar, P. Vijayagopal and N. Sridhar (2016). Micronutrient Composition of 35 Food Fishes from India and Their Significance in Human Nutrition. Biol Trace Elem Res (2016) 174: 448. doi:10.1007/s12011-016-0714-3 | |
Mohanty, B. P., S. Banerjee, S. Bhattacharjee, T. Mitra, G. K. Purohit, A. P. Sharma, D. Karunakaran, and S. Mohanty. "Muscle proteomics of the Indian major carp catla (Catla catla, Hamilton)." J Proteomics Bioinform 6 (2013): 252-263. | |
Mohanty, Bimal Prasanna, Satabdi Ganguly, Dhanasekhar Karunakaran, Kajal Chakraborty, Anil Prakash Sharma, Prasanna Kumar Routray Mohapatra, and Nihar Ranjan Nayak. "Maternal fish consumption and prevention of low birth weight in the developing world." National Academy Science Letters 35, no. 5 (2012): 433-438. | |
Karunakaran, D., & Mohanty, B. P. (2006). Information Technology- Potential Application in Fisheries. Environment and Ecology, 24(2), 359-365. | |
D. Karunakaran(2012). A RELATIONAL DATABASE FOR INLAND FISHERIES RESOURCE MANAGEMENT. Inland Fisheries Society of India | |
Mohanty, B.P., Mahanty, A., Ganguly, S., Mitra, T., Karunakaran, D& Anandan, R (2019). Nutritional composition of food fishes and their importance in providing food and nutritional security. Food Chemistry,293: 561-570. (NAAS Rating: 11.40) | |
MOHANTY, B., MOHANTY, D., MITRA, T., GANGULY, S., MAHANTY, A., MOHANTY, S., & KARUNAKARAN, D. (2021). BIG DATA SCIENCE AND OMICS TECHNOLOGY. | |
Mohanty, Bimal Prasanna, Satabdi Ganguly, Arabinda Mahanty, T. V. Sankar, R. Anandan, Kajal Chakraborty, B. N. Paul, D. Karunakaran et al. "DHA and EPA content and fatty acid profile of 39 food fishes from India." BioMed research international 2016 (2016) | |
Books:
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Others:
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Karunakaran, D., Sahu, S. K., Pandit, A., & Sharma, A. P. (2015). Assessment of water quality using remote sensing for aquatic resource management.ICAR-Central Inland Fisheries Research Institute, Barrackpore
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Others:
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Karunakaran, D., Sahu, S. K., Pandit, A., & Sharma, A. P. (2015). Assessment of water quality using remote sensing for aquatic resource management.ICAR-Central Inland Fisheries Research Institute, Barrackpore
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Coconut variety KalpaSamrudhi- developed, released and notified in the Gazette as PI in collaboration with team of scientists. The hybrid variety is suitable for cultivation in Kerala and Assam. The hybrid has been released and recommended by Central Sub Committee on Crop Standards, Notification and Release of Varieties. Notified by Ministry of Agriculture vide S.O.2277(E) dated 17th August 2015.
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Coconut variety Kalpatharu- developed, released and notified in the Gazette as co-PI in collaboration with team of scientists. Recommended in the AICRP group meeting for cultivation in the states of Karnataka, Tamil Nadu and Kerala. The variety exhibited high impact in increasing the ball copra production. Notified by Ministry of Agriculture vide S.O.2277€ dated 17th August 2015.
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Coconut variety Kalpa Pratibha- developed, released and notified as co-PI in collaboration with team of scientists. The variety is well received by the farmers and is being cultivated in different states viz., Kerala, Tamil Nadu, Karnataka and Andhra Pradesh. Notified by Ministry of Agriculture vide S.O. 1714€ dated 18th July 2008.
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Coconut variety KalpaDhenu developed, released and notified as co-PI in collaboration with team of scientists. Improved variety got notified in 2008. The variety is well received by the farmers and is being cultivated in different states viz., Kerala, Tamil Nadu and Andaman and Nicobar Islands. Notified by Ministry of Agriculture vide S.O. 1714€ dated 18th July 2008.
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Coconut variety Kalpa Mitra developed, released and notified as co-PI in collaboration with team of scientists. The improved variety got notified in 2008. The variety is well received by the farmers and is being cultivated in different states in west coast region and West Bengal. Notified by Ministry of Agriculture vide S.O. 1714€ dated 18th July 2008.
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Coconut variety Kalparaksha developed, released and notified as co-PI in collaboration with team of scientists. The improved variety got notified in 2008. The variety is well received by the farmers and is being cultivated in different parts in Kerala especially in root (wilt) affected regions owing to the higher level of resistance. Notified by Ministry of Agriculture vide S.O. 1714€ dated 18th July 2008.
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Coconut variety Kalpa Jyothi- developed, released and got recommended for notification as Co-PI in collaboration with team of scientists. It is a Dwarf variety with yellow fruits, recommended for the states of Kerala and Karnataka. Notified in gazette of India after recommendation by Central Subcommittee of development and release of varieties of horticultural crops. (Ministry of Agriculture and farmers welfare Notification S.O. 4272(E) dated 26th November 2019 published in the gazette of India, No3841 dated 26th November 2019)
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Coconut variety Kalpa Surya – developed, released and got recommended for notification as Co-PI in collaboration with team of scientists. It is a Dwarf variety with orange fruits, recommended for the states of Kerala and Karnataka. Notified in gazette of India after recommendation by Central Subcommittee of development and release of varieties of horticultural crops. (Ministry of Agriculture and farmers welfare Notification S.O. 4272(E) dated 26th November 2019 published in the gazette of India, No3841 dated 26th November 2019).
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Coconut variety Kalpa Haritha- developed, released and got recommended for notification as PI in collaboration with team of scientists. A superior tall selection having very less incidence of eriophyid mite infestation (8.87%), in comparison to 60.07% in the local control (WCT), released for Kerala and Karnataka. Notified in gazette of India after recommendation by Central Subcommittee of development and release of varieties of horticultural crops. (Ministry of Agriculture and farmers welfare Notification S.O. 4272(E) dated 26th November 2019 published in the gazette of India, No3841 dated 26th November 2019)
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Coconut variety KalpaSreshta – developed, released and got recommended for notification as PI in collaboration with team of scientists. It is a Dwarf x Tall hybrid, recommended for cultivation in the states of Kerala and Karnataka. Recorded higher copra yield of over 6.2tons/ha/year. Notified in gazette of India after recommendation by Central Subcommittee of development and release of varieties of horticultural crops. (Ministry of Agriculture and farmers welfare Notification S.O. 4272(E) dated 26th November 2019 published in the gazette of India, No3841 dated 26th November 2019)
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Coconut variety Kalpa Shatabdi – developed and released (proposal submitted for notification) as co-PI in collaboration with team of scientists. A tall selection recommended by XXV AICRPP Group Meeting held during May 2016 for cultivation in the coconut growing tracts of Kerala, Karnataka and Tamil Nadu.
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Coconut variety KalpaRatna – developed and released in collaboration with team of scientists from ICAR-CPCRI. A tall selection recommended by AICRPP Group Meeting for cultivation in the coconut growing tracts of Keralaand Tamil Nadu. The proposal has been notified
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Two dwarf accessions viz., Andaman Green Dwarf and Andaman Yellow Dwarf have been identified as potential high yielders suitable for tender coconut purpose under Island conditions and they are proposed for release and commercial exploitation from ICAR-CIARI, Port Blair.
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The following coconut varieties have been developed, released and recommended at various levels and in the process of submission for notification.AICRP on Palms recommended:CARI C1 Annapurna, CARI C2 Surya, CARI C3 Omkar and CARI C4 Chandan – The varieties are spreading in the areas of Andaman and Nicobar Islands to the tune of over one hectare per year.Institute level release / recommended:COD x LCT, COD x WAT, MYD x Kenya Tall, (IND058S x IND042S), LOD x LCT and LGD x LCT, selections from Kenya tall and Federated Malay States Tall. The identified proposals are in various levels for submission to Central Sub committee on Crop Standards, Notification and release of varieties for Horticultural crops for consideration towards notification.
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Crop Germplasm registered: Developed and registered unique coconut genetic stock with ICAR-NBPGR. INGR13065 (IND099- Niu Leka Green Dwarf having short statured palms possessing advantageous characters of talls)
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Crop Germplasm registered: Developed and registered unique genetic stock with ICAR-NBPGR- IND 221 – Andaman Horned Cocos (IC0598221; INGR13063), a Coconut (Cocos nucifera) Germplasm with Distinct Character of Horny Nuts
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Crop Germplasm registered: Developed and registered unique genetic stock with ICAR-NBPGR- IND 331-Laccadive Mini Micro Tall (IC0598222; INGR13064), a Coconut (Cocos nucifera) Germplasm with Distinct Character of Extremely Small Nuts with Very Low Copra Content, not found in any other Coconut Variety.
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Crop Germplasm registered: Developed and registered unique genetic stock with ICAR-NBPGR- IND 001 – Kappadam Tall (IC0430667; INGR13059), a Coconut (Cocos nucifera) Germplasm with Low Husk (33 to 36%) and High Copra Content (215 to 280 g)
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Crop Germplasm registered: Developed and registered unique genetic stock with ICAR-NBPGR- IND 030-Laccadive Micro Tall (IC0430669; INGR13060), a Coconut (Cocos nucifera) Germplasm with Cluster Bearing Heavy Bunches of Micro Nuts.
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Crop Germplasm registered: Developed and registered unique genetic stock with ICAR-NBPGR- IND 092 – Cameroon Red Dwarf (IC0598219; INGR13061), a Dwarf Coconut (Cocos nucifera) Germplasm with Distinct Bright Orange Coloured Nuts, Higher Content of Tender Nut Water and High Copra Content.
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Crop Germplasm registered: Developed and registered unique genetic stock with ICAR-NBPGR- IND 414 – Chowghat Yellow Dwarf (IC0598220; INGR13062), Distinct Dwarf Coconut (Cocos nucifera) Germplasm with Yellow Coloured Nuts and Erect Leaves.
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FishProt (Fish Proteomic Database) a comprehensive biological fish proteomic database for biomarker discovery and evaluation named FISHPROT was developed.
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Fish Nutritional Database was developed (NutriFishIn) using PHP and MySql and containing nutritional information on food fishes of India
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A relational database, named RRDBMS (River, Reservoir and Wetland Database Management System) has been developed with the objective of systematically storing data on various abiotic (morphological, sediment and water quality) and biotic (plankton, pheriphyton, macrobenthic organisms, macrophytes, gear wise and species specific fish catch) parameters of inland aquatic resources like river, reservoir, wetlands.
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A&NFish mobile apps was developed to tap the potential of mobile communications and technology towards gathering fishery catch data from landing center.
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Technology- Model developed to predict water quality parameters and chlorophyll concentration of reservoir using Indian Remote-Sensing Satellite (IRS-P6) Liss-III imagery.
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Life member, The Inland Fisheries Society of India, Barrackpore, Kolkata, India
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