Abstract:
Glut and less arrivals of the agricultural produce (supply-demand mismatch) is directly leading to
agricultural price fluctuations. Prices of most of the daily consumed perishable commodities go very high in
some season and dips very low in other season, directly impacting farmers and consumers in either situation.
Due to the observed effect of price fluctuations and agricultural market instability along with its impact on
small and medium scale farmer’s development in India, this paper attempts to suggest ways of how farmers
can improve their agricultural yield in order to sustain their income and also get a better lifestyle by use of
appropriate technological innovation in agriculture like farm sensors, artificial intelligence, and drones. This
also supports government in all the decision making process. Development of farm-specific, data-driven
diagnostics to determine crop yield and crop health has come up as a big opportunity area. Start-ups are
leveraging drone and tractor-based IOT (Internet of Things) applications to get data (both on weather and
agricultural parameters) on field to determine risks. Increasing smart phone penetration will enable precise
decision making in farming activities, helping farmers to derive increased productivity and revenue while
reducing unit costs. This includes improvements to help farmers in timely and accurate estimation of sowing
and harvesting in sync with consumer demand patterns. Such linkages operate at the critical points of supply
chain: Input, Process and Output areas. These models aim to link producers to remunerative sourcing
agencies for procurement and to profitable buyers for output sale and government can take better decision to
provide right kind of schemes and compensations to the farmers. This concept paper proposes software
controlled integrated agricultural produce management.
Description:
Thirteenth Biennial Conference on Entrepreneurship/ Edited by Sasi Misra, Sunil Shukla, Ganapathi Batthini
