IFPRI -NAIP - Impact of capacity building programs under NAIP  - Pitam Chandra
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IFPRI -NAIP - Impact of capacity building programs under NAIP - Pitam Chandra

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National Agricultural Innovation Project (NAIP), ICAR and the International Food Policy Research Institute (IFPRI) organized a two day workshop on ‘Impact of capacity building programs under NAIP’ on June 6-7, 2014 at AP Shinde Auditorium, NASC Complex, Pusa, New Delhi. The main purpose of the workshop was to present and discuss the findings of the impact evaluation study on capacity building programs under NAIP by IFPRI. The scientists from ICAR and agricultural universities were sent abroad to receive training in specialized research techniques. Post-training, scientists were expected to work on collaborative projects within the ICAR, which would further enrich their knowledge and skills, expand their research network and stimulate them’ to improve their productivity, creativity and quality of their research. The ICAR commissioned with IFPRI (International Food Policy Research Institute) to undertake an evaluation of these capacity building programs under NAIP in July 2012. The workshop shared the findings on the impact of capacity building programs under NAIP and evolve strategies for future capacity building programs

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IFPRI -NAIP - Impact of capacity building programs under NAIP  - Pitam Chandra IFPRI -NAIP - Impact of capacity building programs under NAIP - Pitam Chandra Presentation Transcript

  • Pitam Chandra Director Central Institute of Agricultural Engineering Nabibagh Berasia Road Bhopal
  • Prioritization of institute level research needs considering  Vision documents and R&D agenda of CIAE  Existing core strength of the concerned subject area  Gaps in skills available and skills needed  Relevance of the training topic/ programme to short and long term goals of the institute
  • Training imparted Thematic Area covered Image processing Precision agriculture, Agro-processing Fermentation technology Bio-fuels, Food technology Nano technology Food technology, Bio-energy Packaging Food technology Carbon Sequestration Biochar technology, utilization of biomass resources Non-thermal Non- chemical processing Food technology
  •  Criteria for selection: Future priorities of Institute in context of its vision, educational and research background of individual scientist  Duration: Generally decided by NAIP  Training basic, strategic and new areas– 3 months  Training on engineering applications– 3 months  Training on the implementation strategies- 1 month  Resource institutions: International institutions with specific capability in area of training proposed. www, personal knowledge, peer suggestions  Resource Person: Identified using global research contributions of professors of different foreign universities, personal contacts
  •  Scientists better motivated to prepare higher quality research projects  Improved decision making capacity of researchers  Higher confidence and better peer interaction  Greater positivity among trained personnel
  •  Protocol for non-destructive quality evaluation of mangoes  Software for machine vision based physical properties (size and shape) of grains  A project sponsored by NFBSFAR on machine based variety identification  An institute project on machine vision based sorting of oranges
  • Image based selective herbicide applicator under NAIP project on Precision Farming Technology A study on activation of crop residue based charcoal to obtain the activated carbon at very low cost by nano-cavities augmentation. Crop status monitoring for precision input applicators
  •  National training on Precision Farming, March 3-12, 2014 at CIAE, Bhopal  Summer school on Precision Farming, July 5-25, 2011  National training on Non thermal, Non Chemical Processing and membrane technology in food systems at CIAE, Bhopal; Oct12-21, 2011  Book on Non thermal Non chemical Processing in Food System: ISBN 978-81- 909305-2-9  High rated Research Publications
  •  Strengthening of the laboratory and instrumentation in the field of precision farming system with enhanced analytical capacity.  Strengthening of research work in the field of precision farming, image processing and machine vision system  New machine vision based equipment developed are controller based seed cum fertilizer drill, laser sensor based herbicide applicator, real-time sprinkler irrigation system, X-ray Image based Non-destructive detection system for mango.
  •  Image processing techniques are being utilized for 1) development of weed identification system, 2) Identification of crop variety.  Up-gradation of TGA for kinetic analysis: To understand the thermal stability and de-volatization process of charcoal, biomass and carbon entities.
  •  Develop close functional linkages with pertinent national / international institutions in the frontier areas  Creation/ strengthening of appropriate infrastructure  Seek funds for strategic research  Human resource development in the frontier areas
  •  University of Nebraska, Lincoln, Nebraska, USA.  Biological Systems Engineering Department, Virginia Tech, Blacksburg, VA 24061, USA.  UCDavis.  University of Arkansas.  University of Manitoba, Canada  North Carolina State University, Raleigh, NC, USA  Cornell University, Ithaca, NY, USA  Michigan State University, East Lansing, Michigan, USA
  •  Dr. Jayam Subbaiah  Dr. S. K. Upadhyaya  Dr Kumar Mallikarjunan  Dr. Lalit Verma
  •  Concept note entitled "Microwave assisted extraction technique” as a tool for extraction of antioxidants from medicinal plants and its by-products for functional food/ neutraceutical submitted for functional food platform  The CIAE component for ICAR’s Nano technology platform  Four concept notes on nanotechnology and hydrothermal gasification technology submitted to NFBSFAR
  •  Collaborative project under discussion with M/s Marine Marshall products , Erode, Tamil Nadu for joint project/ technical guidance for the extraction of chitosan and related products  Setting up new laboratory on 'Machine vision for agricultural applications' included in the XII plan proposal of the institute  Establishment of a new laboratory on Bio- energy has been included in the XII plan EFC of CIAE
  •  Kotwaliwale, Nachiket; Singh, Karan; Kalne, Abhimannyu; Jha, Shyam Narayan; Seth, Neeraj&Kar, Abhijit. 2011. X-ray imaging methods for internal quality evaluation of agricultural produce. J Food SciTechnol DOI 10.1007/s13197-011-0485-y. Published online 13 August, 2011.  Kotwaliwale, Nachiket; Curtis, Evan; Othman, Shadi; Naganathan, Govindarajan K; Subbiah, Jeyamkondan. 2012. Magnetic resonance imaging and relaxometry to visualize internal freeze damage to pickling cucumber. Postharvest Biology and Technology 68:22–31.  Gangil S. 2014. Dominant thermogravimetric signatures of lignin in cashew shell as compared to cashew shell cake. Bioresource Technology, Volume 155: 15-20. (Elsevier) NAAS 2014 rating : 10.75  Gangil S. 2014. Beneficial transitions in thermogravimetric signals and activation energy levels due to briquetting of raw pigeon pea stalk. FUEL, Volume 128, Pages 7–13. (Elsevier) (NAAS 2014 rating 9.36)  Gangil S. 2014. Distinct splitting of cellulose related signals in cashews hell : A TG-diagnosis. Cellulose (Accepted on 26-05-2014) (NAAS 2014 rating: 9.48)  Gangil S. 2014. Polymeric Consolidation in Briquetted Biofuel as Compared to Raw biomaterial: A TG-Vision for Pigeon pea Stalks. Energy and Fuels, 28, 3248-3254. (NAAS 2014 rating 8.85 )
  •  Gangil S. 2014. Thermogravimetric Evidences for Better Thermal Stability in char Produced under Unconfined Conditions, Accepted manuscript on 28- Jan-2014 in Environmental Engineering Sciences (NAAS 2014 rating: 7.15)  Agrahar-Murugkar D, Kotwaliwale N, Manoj Kumar and Gupta, C. 2013. Effect of roasting parameters on soy-butter product quality. International Journal of Food Science and Technology.(In press).  Agrahar-Murugkar, D. 2011. Effect of sprouting of soybean on the chemical composition and quality of soymilk and tofu. Journal of Food Science and Technology. DOI: 10.1007/s13197-011-0576-9.  Agrahar Murugkar, D and Jha K. 2011. Influence of storage and packaging conditions on the quality of soy flour from sprouted soybean. JFST. 48(3): 325–328.  K.N. Agrawal, Karan Singh, Ganesh Bora and Dongqing Lin, (2012). Weed recognition using image-processing technique based on leaf parameters,” Journal of Agricultural Science and Technology B 2 (2012) 899-908.  Abhimannyu Kalne, Nachiket Kotwaliwale, Karan Singh and Vijay Kumar Singh (2012). Non-Destructive Inspection of Mango Fruit (Mangifera indica L.) Using Digital Radiography, Computed Tomography and Magnetic Resonance Imaging, Journal of Agricultural Engineering, 49(4), 33-41.
  •  Duration of training needs to be flexible: 3- 12 months  Scientist proceeding on training is given pre-departure orientation about the organization’s expectations  The scientist under training is monitored for any problem(s) and learning  On return from the deputation, scientist is given opportunity to work in the area of training for at least three years before he/she is permitted to move to other goal posts
  • THANK YOU