Data science course in malaysia
Data science has many applications today. It is used in almost all sectors, whether governmental or private.
But is it also useful in the area of agriculture, which seems to have no connection to data science?
Well the answer is yes.
Data science has several applications in agriculture, and in this article we will briefly discuss some of these important applications.
1. Address food shortages and help small farmers.
Data scientists are efficient enough to analyze large volumes of data. Plans are underway to use this ability of data scientists to extract information that will help overcome problems such as food shortages. This will not only help the common population, but will also help small farmers to get involved in the project.
In September 2018, a project was launched to examine data from a number (around 500 million) of farmers in 50 poor countries.
The project aims to study agricultural investments in these countries, to ensure that they are effective or not. According to those involved in this project, this will help improve the conditions of farmers and increase agricultural productivity in these countries.
Ultimately, this will help reduce world hunger.
2. Management of pests and diseases of crops.
Pests are the sworn enemies of farmers, who are responsible for reducing their profits. The development of pesticides has contributed greatly to crop prevention.
But the excessive use of pesticides is very harmful for our environment and for crops.
To overcome this pesticide quantity problem, many companies employ data scientists to analyze the amount of pesticides that will be used on plants and when to use them.
Technologies such as IoT and AI are used to determine diseases and the number of pests in crops. These technologies report directly to farmers, helping them decide how much pesticide to apply.
3. Fight against climate change.
Climate change has always been a major concern in the agricultural sector. In developing countries like India, small farmers are completely dependent on the climate for their farming practices; making her a common victim of climate change.
IoT devices are used in crops to collect crucial information about them. The information is stored in a database and helps farmers to optimize their production cycle. Climate change makes this task of optimizing production quite difficult, but with the help of IoT devices this can be done very easily.
Data scientists are also studying soils to determine how they are affected by climate change.
In addition, the study of soil data is also carried out to determine its role in adaptation to climate change.
Such information is very difficult to collect, but it is essential to understand the climate-soil relationship.
Data science is an excellent area of study. If you have a good understanding of programming, you can have a great career as a data scientist. So, join a course to learn data science and become a data scientist.
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Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral50470 Kuala Lumpur, Malaysia
phone no: 011-3799 1378
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