Topics In Demand
Notification
New

No notification found.

Artificial Intelligence in Agriculture : Smart Farming
Artificial Intelligence in Agriculture : Smart Farming

July 2, 2021

AI

30

0

Introduction 

Agriculture is one of the oldest and most important professions in the world. Agriculture plays an important role in India's economy as it provides employment to over 60% of the population. Presently India is among the top two farm producers in the world. Over the last few decades Indian agriculture has come in sight with impressive growth.

                 So, we need a smarter approach in our farming method and we have to be most productive. 

       

What is Artificial intelligence (AI) ?

Artificial Intelligence (AI) is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of AI include learning, planning, problem-solving, reasoning etc.

                 Nowadays AI is making a revolution in agriculture by replacing traditional farming methods by using more efficient methods.

 

Some challenges faced by farmers while using traditional methods of farming:

  • Deficiency of 3 main specific nutrients i.e. nitrogen(N), phosphorous(P) and potassium(K) in soil can cause poor quality of crops.
  • If weed is not controlled, it can increase production cost and also it absorbs important nutrients which can cause nutrition deficiency in the soil.
  • Increasing deforestation and pollution result in climatic changes, so it’s difficult for farmers to take decisions to prepare the soil, sow seeds which depend upon climatic factors such as rainfall, temperature and humidity.

 

Now let’s have a look at how AI is transforming the Agriculture

Forecasted Weather data:

With the change in climatic conditions and increasing pollution it’s difficult for farmers to determine the right time for sowing seed, with help of AI by using weather forecasting and data analysis, farmers can take the precaution. It helps them to plan which type of crop can be grown and when seeds should be sown.

 

Analyzing crop and Soil health by drones:

Modern Technologies has brought drone  solutions for monitoring crop and soil health. In this technique, the drone captures data from fields and it is transferred to a computer to analyze it. Algorithms are used to analyze the captured images and provide a detailed report containing current health of crops and soil to take required action.

Use of drone in monitoring crop and soil health

 

Agricultural Robotics & Bots:

AI-enabled agriculture robots help farmers to find more efficient ways to protect their crops from weeds. These types of robots are trained to check the quality of crops and detect weeds with picking and packing of crops at the same time. This is also helping to overcome the labor challenge.

Use of Agricultural Robot to protect crops from weeds

 

AI-enabled system to detect pests:

AI systems use satellite images and compare them with historical data using AI algorithms and detect that if any insect has landed and which type of insect has landed like the grasshopper, locust etc. It sends alerts to farmers to their smartphones so that farmers can take required precautions.

 

Conclusion:

The world will need to produce 50 percent more food by 2050. Artificial intelligence can help farmers in this aspect. We can shape a better future in this way. The future scopes of Artificial Intelligence in Agriculture are the signals of a changing world.


That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.


© Copyright nasscom. All Rights Reserved.