Food security can be considered as one of the most essential factors for human livelihood. Food security is a combination of both physical and economic access to food, which meets the nutritional requirements of human beings and their food preferences. Food availability is mainly dependent on production, storage, and transport infrastructure.  In fact, in order to develop robustness in food security, a proper food management plan is urgently necessary that helps to meet a certain amount of crop production. Food security is under threat on a community as well as global level, due to important factors that include the access and availability of food in local environments, the effects of the climate-changing on agriculture and natural resources, and the active participation in planning, developing, and managing effective strategies to optimize and sustain food production with the available existing land.

Out of the current 1.27 billion population in India, about 77% of people are considered as poor and vulnerable and thousands of people even do not get a two times meal per day. According to the recently released Global Hunger Index of 2013, India is falling under 63rd rank among the 120 countries. Interestingly, India is considered as one of the largest producers of food in the world. So, a natural question comes up: why do we not get the expected amount of food for our society?  

The answer to this lies in monitoring the crop yield over different parts of India. A range of traditional methods has been adopted to estimate crop production in various scales. But they are not helpful in determining the crop yielding for large scales. Remote sensing and GIS can play a critical role in building knowledge that will lead to food security for the masses. This technology also determines the climate changes, soil moisture, crop health condition, rainfall, food shortage which actually helps in securing food supply management for the future generation.

We, at Satyukt, have developed an in-house built algorithm that integrates the multiple satellite remote sensing along with the machine learning approach, big data analytics as well as the physical algorithms to achieve the space-based agri-tech services such as crop health monitoring, soil moisture, irrigation advisory, likely crop yield, fertilizer/pest disease information. We also further provide early warnings of pests/crop diseases to enhance crop production. These services obviously support food security in the future.