APPLICATIONS OF DATA SCIENCE IN THE FIELD OF AGRICULTURE

by digital tucr
APPLICATIONS OF DATA SCIENCE IN THE FIELD OF AGRICULTURE

Agriculture is a sector which plays a very important role in a country’s economy. With time, every sector has developed and embraced technology to keep up with the changing economic and innovative scenarios. Agriculture is not behind either, it has also started making use of applied technology for its betterment. And in this technological advancement, data science is still playing a major role.

There are many ways in which data science is helping the agriculture sector flourish and is proving to be a huge helping hand to the farmers all around. To enter the field of agricultural data science, one needs to have relevant skills that can only be gained from the best data science courses that a place has to offer. So some of the benefits that data scientists can provide the farmers with are:

Investigate agricultural factor and relations

In agriculture, there are several things that together paint a bigger picture in terms of production and productivity. Data science use databases regarding these factors and find the interrelationship between them, which in turn can help farmers, animal feed brands, an agricultural institute in finding the best operational processes.

Analyze diseases and pests

Every agricultural land has faced, at least once, the wrath of pests or any kind of crop disease, which adversely affects productivity and eventually food supply and the farmer's earning. Data science is quite helpful in solving this problem if applied properly. Many governments are now taking the help of data scientists in collecting data regarding pest infestation and types of diseases that can affect a particular farm by using the Internet Of Things and artificial intelligence. Through this, many apps are also developed which can be used by the farmers for planning their pest management approaches.

Empower farmers with useful data

Data is everything, regardless of any sector one is dealing with. Similarly, in the agricultural sector, too, there are humongous amounts of data which can be helpful in understanding productivity patterns, drought chances, and hunger issues. When all the data around a country is analyzed one can find information which can help impoverished farmers in increasing their production and also recognize those areas which are suffering from long term hunger and poverty.

To make yield predictions

Getting predictions beforehand can be helpful for a farmer, so that one will not have to face an unpleasant surprise. Due to several reasons, the agricultural productivity of a farm can decrease, and this can be devastating to a farmer. Data scientists can help in predicting the yield of a farm way before harvest using different sets of data.

Crops and land imaging

Having a picture data is always helpful when it comes to making decisions. Today, many countries are using satellite images from different weather stations to collect relevant agricultural data. Satellite images help in recognizing any kind of problem way faster than any other method.

Agriculture is becoming high tech with each passing year, by using past data to predict the future patterns which will be helpful to the farmers and the entire economy as a whole. Data scientists who are expertly trained can help in making informed decisions in this field.

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Without any doubt, data scientists these days can be found everywhere. Now with agriculture also. To take major steps forward with the help of data science, the demand of professionals will only rise in the future. Therefore, this is the right time to join the data science brigade by taking the data science course at Excelr Singapore.

March 18, 2019
by digital tucr