Agriculture is the backbone of the Indian economy. Farmers produce essential commodities for everyday life. You can live without your smartphone, you can live without that air conditioner, you can live without your car, but you need food daily. These essential commodities drive the Indian economy. Combine agriculture with data science, and you get something unique.
Agriculture is dependent on a lot of factors like nutrients in the soil, amount of rainfall and sunlight, etc. Using Data Science, we can predict how bountiful produce will be. Data science can be used to solve a lot of issues faced by poor farmers. Learn more about Data Science Course in Pune
Application of data science in agriculture
1. Crop mapping
With every crop reaping, the structure of the soil changes. It is very difficult to find out which crop will suit the soil. Many farmers have acres and acres of land. Even a small change in the produce can affect the farmers’ fortunes badly.
This is where data science comes in. Using data science, we can develop a crop map for the soil and then determine the best time for the best crop cultivation. This technology is widely used in developed countries like Ireland.
2. Weather forecasting
Agriculture is a very sensitive business. Too much rainfall can soak the entire farm, while no rainfall will result in massive losses. Farmers need just the right amount of rainfall. Weather plays a very important role in agriculture.
Data science can be used to forecast the weather. It can predict tomorrow’s weather, a week, a month, and even for a year. Data science uses past data to find out patterns. This can be used to predict the weather.
Data science can be used to predict:
- Snow and rainfall
- Wind direction
- Wind speed
- Humidity level
- Cloud coverage
- Cyclones, depression, tornadoes, hurricanes, etc.
- Temperature
- Hail, fog, frost, thunderstorm, etc.
3. Fertilizer suggestions
Fertilizers are very important for a good yield. It can improve the nutrient content in the soil. However, not all fertilizers are good. Every crop needs some specific fertilizer for better growth. If you use anything and everything, you will just end up destroying your produce.
Information science can be used to suggest the best fertilizer for the crop. Moreover, it can also tell you how much fertilizer you need per the amount of produce.
4. Detect crop disease and pest invasion
Like human beings, crops are also susceptible to diseases. Crop disease can destroy the entire produce. Similar is the case with pests. You must keep them away from your farm.
Information science can be used to detect patterns in nature. It can detect crop disease and predict pest invasion. Once you are sure about pest attacks, you can use pesticides to drive them away. This way, you will be able to double your productivity.
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Conclusion
Farmers are the soul of the country. They are the ones who keep the wheel of the economy rolling. If somehow we can improve the lives of farmers, we will be able to become superheroes in no time. The green revolution made our country self-sufficient in agriculture. We desperately need a similar technology revolution that will improve the quality and productivity of our crops. Visit here for more details Data Science Course in Chennai
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