Agricultural engineering and technology interventions helped farmers usher in the Green Revolution, which helped the country progress towards food security and become a nation with a net food surplus. Scientific advances have continued to help farmers meet the challenges.
With advances in information technology, cell phones, GIS, robotics and now artificial intelligence, agronomists and scientists are increasingly interested in agricultural issues.
With a huge amount of information supported by AI, on weather, prices of inputs and agricultural products, farmers can plan the preparation of fields and soils, place orders for the purchase of seeds and of inputs, choose the window of time for sowing, harvesting, planning the storage doe staggered the supply of products in the markets to benefit from the discovery of market prices. It also mitigates the risk of market fluctuation and falling and rising prices for consumers.
AI provides market information that guides farmers’ decisions, for example consumers looking for millets will be interpreted as increasing demand for millets and farmers can sow millets to reap profits instead of any other cereal or grain.
By combining weather forecasts with their unique business information, technology enables supply chain managers to make faster and more informed decisions.
When farmers and Agtech companies face supply chain issues in the aftermath of an emergency, pandemic or disaster, it is essential that they have access to weather and traffic views. location specific in near real time.
This will help farmers make the best decisions about harvesting, processing, storing and sourcing their produce, as well as agro-tech companies in managing field operations such as logistics.
Cold chains and producers of fresh fruits and vegetables can hyper-locate points of departure and arrival, giving them full visibility into current and future weather conditions while transporting their produce through cities before they do not spoil. In conclusion, we can say that the convergence of AI and GIS generates huge opportunities in the agricultural and related sector.
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