Wed, Nov 25, 2020
Text Size

 CSIR Fourth Paradigm Institute

(Formerly CSIR Centre for Mathematical Modelling and Computer Simulation)

A constituent laboratory of Council of Scientific & Industrial Research (CSIR).

Ministry of Science and Technology, Government of India.

CSIR-4PI welcomes corporates to invest CSR funds in R&D of institute – Please contact Group Leader

by S. Himesh, E.V.S. Prakasa Rao, K.C. Gouda, K.V. Ramesh, V. Rakesh, G.N. Mohapatra, B. Kantha Rao, S.K. Sahoo and P. Ajilesh

This review considers the role of Big Data (BD), the digital revolution, the application of Internet of Things (IoTs) and sensor technologies in the agriculture sector. The introduction is focussed on the ongoing research efforts on BD within agriculture sector, basic features of BD and latest development in BD analytics tools. In subsequent sections, the importance of BD applications in the agriculture sector and examples of their success stories in increasing farm productivity, current scenario on BD and digital agriculture, the future prospects of BD and bottlenecks in its implementation in agriculture sector are discussed. Agriculture sector is undergoing a new revolution and transformation, driven by IoT, sensor technologies, BD and cloud computing. This digital revolution in agriculture is  very promising and will enable the agriculture sector to move to the next level of farm productivity and profitability. This transformation process looks irreversible and poised to revolutionize not only agriculture but the entire farm-to-food sector.

Vision and Mission

Our Vision: To provide modelling, simulation and data-intensive capability powered by high-performance computing and informatics research.

Our Mission: To develop knowledge products in the earth system and information sciences for societal benefit by exploiting modelling, simulation and data science capabilities. The mission statement thus encompasses the continuation of existing modelling and simulation work in earth sciences and places emphasis on exploiting data science capabilities across domains.

Our Mandate: To develop reliable knowledge products for decision support in Earth, Engineering and Information Sciences. To be the national leader in High-Performance Computing as service that will power modelling and informatics across CSIR.

Student Programme for Advancement in Research Knowledge (SPARK)

SPARK is intended to provide a unique opportunity to bright and motivated students of reputed Universities to carry out their major project/thesis work and advance their research knowledge in mathematical modelling and simulation of complex systems. The programme is intended to increase the interaction between scientists and faculty members of academic institutes along with their students towards a long term research collaboration. Click here to apply for SPARK.

A FAQ on SPARK is available here.



Articles View Hits