Announcement of results for Sree RamaKrishna Paramahamsa Research Grant in Translational Agricultural Sciences for 2022

SPVF

SreePVF is pleased to announce the awards for the 2022 call of Sree Ramakrishna
Paramahamsa Research Grant for Translational Agricultural Research.

Sree Ramakrishna Paramahamsa Research Grant for Agriculture was constituted in 2021 to provide last mile funding for innovative research that would benefit the farming community of India, with a special focus on small and marginal farmers. Two awards were recommended by the Committee this year for their novel and innovative approaches that provide sustainable, cost-effective, and easily accessible solutions to the benefit of large sections of the farming community. Both the winning projects have the potential to deliver ready-to-deploy solutions at the end of the funding period, a major criterion for their selection for the award.

Project 1: Novel edible coating material for the postharvest quality improvement of perishable fruit crops.

Principal InvestigatorDr. Koushik Mazumder, National Agri-Food Biotechnology Institute, Mohali, Punjab

Collaborators: Dr. Manoj Kumar Patel, CSIR-Central Scientific Instruments Organisation, Chandigarh

Summary: The absence of postharvest treatment options and processing methods along with traditional storage on farms and infestation by microorganisms and pests, are the major factors responsible for the highest rate of postharvest losses in fruit and vegetable in India. Due to the limited availability of cold chain facilities especially during storage and transportation, the development of coating materials to prolong the shelf life of fruits and vegetables is a high priority in this research area. The present invention relates to the development of edible composite coatings based on polysaccharides from agricultural by-products. The coating technology is simple and can be applied even at the farm level; so that spoilage during transportation and marketing can be reduced. Furthermore, an advanced electrostatic coating system for edible coatings would be optimized, reducing the processing cost for coating application at a commercial scale.

 

Project 2: Artificial Intelligence based modeling of major pests in Rice crop to promote Forewarning advisory services in Andhra Pradesh.

Principal Investigator: Dr. P. Lavanya Kumari, S. V. Agricultural College, Acharya NG Ranga Agricultural University, Tirupati

Collaborators: Dr. I.Parama Siva, Acharya NG Ranga Agricultural University Agricultural Research Station, Nellore

Dr.U. Vineetha, Acharya NG Ranga Agricultural University Agricultural Research Station,
Nellore

Dr.A,Veeraiah, Acharya N.G. Ranga Agricultural University Krishi Vignana Kendra , Kadapa

Summary: Weather-based automated forewarning advisory services for major pests in rice will be established permanently at each Agricultural research station of Southern Zone of Andhra Pradesh using artificial Intelligence (ANN approach). These services will be very useful to forecast the pest well in advance. The respective precautions or management practices will be suggested to the farmers to reduce the yield losses due to unexpected pests. Further, validation and updation of the constructed forewarning models will be done each year with the help of newly added real-time data so that accuracy in forecasting the pest will be increased.