Noida-based Agri-tech company, Leads Connect Services has signed a Memorandum of Understanding (MoU) with ISF College of Pharmacy, Moga, Punjab for the development of an Intelligent Health Analytics platform. The collaboration between Leads Connect and ISF College of Pharmacy aims to develop an intelligent health analytics platform for monitoring, mitigating, and forecasting biological disasters.
This robust platform will help in improving the quality of health services. It further may be useful in identifying the aspects of health infrastructures where improvement is needed to make them more resilient and robust. Epidemiological analytics can be significant in mitigating the risks of biological disasters. Therefore, this collaboration is expected to yield relevant results in the context of practical and scientific relevance.
Speaking on signing the MoU, Navneet Ravikar, Chairman & Managing Director, Leads Connect highlighted the significance of this agreement. COVID-19 pandemic alarmed the human race that it is now high time to brace ourselves for countering the risks of biological disasters. Moreover, there is now enough literature available suggesting that climate change may also have a paramount role in increasing the cases of infectious diseases across the globe.
It is now therefore necessary to work on measures for addressing the challenges of biological disasters. This agreement is a firm step in this direction and we aim to come up with a solution that benefits humankind.
Leads Connect is an analytics company with a core focus on Agri-technology driven Data Analysis and Modelling, Risk Management & Financial Services. It aims to connect farm value chains for enabling a sustainable, scalable, and profitable agri-business ecosystem. Besides the core focus areas, the organization has been engaged in research and development-based analytics related to climate and hazard, Landscape, Biodiversity, City, and Geospatial Analytics.
Leads Connect has delivered projects related to crop cutting experiments (CCEs), Remote Sensing based Crop Health Monitoring, Crop Acreage, Crop Yield estimates, and Risk and Claim Management Services to various central and state organizations, insurers, and reinsurers.
In addition, they have delivered projects about GP level yield estimation using technology. It has used machine learning algorithms and satellite remote sensing analytics to develop a framework for yield estimation at the GP level.
