Data Science

Data Science in Agriculture

Data Science in Agriculture

For agricultural countries, agriculture provides employment to a large number of people. It suffers from many disasters such as floods, climate changes, migration of farmers toward cities and many other reasons. Improving the agriculture sector means improving the standards of the lives of many people. Like many other fields, Data Science is working to improve this sector. Data is the need of industries, and it has already revolutionized industries with the help of data science by introducing many applications. Data science helps in Weather Detection, Fertilizers Recommendation, Disease Detection, Digital Soil, and Crop Mapping and  many other processes in the agriculture sector. We will discuss above four. For the better growth and development of plants, good weather plays a very vital role. Bad weather causes soil erosion and damages to plans.

Data Science analyzes a huge amount of data and predicts the weather on this basis. A data scientist identifies the patterns and relationships with the help of specific tools. Elements of weather forecasts are rain, snow, dew, temperature, humidity, clouds coverage in the sky, speed, and direction of a wind, fog, etc.

Building the digital soil and crop mapping of soil is a technique introduced in the agriculture sector with the help of data science. This work is performed by taking the images of farms by a satellite and combine them with other relevant data like data from different weather stations. With the help of this method, it’s easier to inspect areas more quickly. After that specific area is selected for a specific crop.

Fertilizers Recommendation is another area where Data Science applications are very successful. The very first thing is knowing the exact fertilizer rate, which itself is a science and requires analysis of many factors. Misuse of fertilizer is harmful to the crops, animals and humans who are using these crops directly or indirectly. Most of the farmers still today rely on conventional methods and guesswork, which are not accurate in determining the fertilizer rate.

Climate change has a large effect on growth as well as the development of plants. To cop the situations caused by climate changes, data scientists are working hard so, that they can find a way to compensate for the change. One project which is working is giving IoT sensors to rice producers in Taiwan. These are used to collect the information which is important for their crops. Due to the climatic changes, the traditional calendar which was used by the farmers earlier is no longer sufficient now.
With the progress of technology, data science will also move forward to bring more applications to help the agriculture sector.




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