Food Security is paramount importance to the growing food needs of an ever increasing population. Not having sufficient domestic production of food to meet requirement of 1.25 billion plus and still expanding will put huge burden on Indian economy.
India is a large agricultural hub around the globe and majority of the total population is dependent on the agricultural sector for meeting their demand. Agriculture is the major end-user sector for fertilizers and the demand for fertilizer is growing significantly.
Due to unpredictable monsoon and ever decreasing ground water and un predictable market condition and unregulated market for crop yields putting huge pressure on farmers.
A solution to be developed taking into account following factors
1. Monsoon Prediction
2. Climate conditions
3. Soil condition
4. pests and disease Predictions and use of insecticides
5. Demand for crop
6. Availability of fertilizers and insecticides
7. Irrigated and non-irrigated
Based on available data from multiple sources and market condition, a solution in the form of interactive application is expected from the cream of the society to guide farmers in deciding when and which crop to grow in their fields based on geographical location of their field and market demand / trends using artificial intelligence (AI).
In addition to the above the application should propose the type of fertilizers to be used with doses of fertilizers with timeline/Schedule. The information should be provided in national & local languages.
AI solution for Integrated Crop protection Management
In today’s scenario, the climatic conditions have become uncertain with unpredictable monsoon, the farmers work hard in the field and grow good crops for the entire nation and suddenly they are struck with bad luck and pest attacks their crop may because of un expected change in climatic condition.
Relationship between some of the Agro climatic conditions like fog, humidity, temperature sunlight, rainfall, variation in minimum and maximum temperature