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Automation in Agriculture Using Artificial Intelligence
Automation in Agriculture Using Artificial Intelligence

July 2, 2021

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Introduction: Agriculture is a vital character of our eco-system. Progress in this field is one of the main concern now-a-days because of the growing rate of population. Now we can't say that the traditional methods that are used by our farmers since from the beginning are enough. Thus the engineers introduced various AI based methods in agriculture. The various applications of AI such as for irrigation ,weeding , spraying with the help of sensors, robots or drones really revolutionized the agriculture. These things save the excess use of water, pesticides; also reduce man power and improve the productivity. The farmers are now enable to produce more Output with less input with the help of AI applications.

 

1.Agricultural Robots: AI companies are developing robots that can easily perform multiple tasks in farming fields. This type of robot is trained to control weeds and harvest crops at a faster pace with higher volumes compared to humans. These types of robots are trained to check the quality of crops and detect weed with picking and packing of crops at the same time. These robots are also capable to fight with challenges faced by agricultural force labor.

 

2.AI-enabled system to detect pests: Pests are one of the worst enemies of the farmers which damages crops. 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 locust, grasshopper, etc. And send alerts to farmers to their smartphones so that farmers can take required precautions and use required pest control thus AI helps farmers to fight against pests.

 

3.Soil and crop health monitoring system; The type of soil and nutrition of soil plays an important factor in the type of crop is grown and the quality of the crop. Due to increasing, deforestation soil quality is degrading and it’s hard to determine the quality of the soil. There is an AI-based application that can identify the nutrient deficiencies in soil including plant pests and diseases by which farmers can also get an idea to use fertilizer which helps to improve harvest quality. This app uses image recognition-based technology. The farmer can capture images of plants using smartphones. We can also see soil restoration techniques with tips and other solutions through short videos on this application.

                                                                       Similarly, another machine learning-based company that helps farmers to do a soil analysis to farmers. Such type of app helps farmers to monitor soil and crop’s health conditions and produce healthy crops with a higher level of productivity.

 

4.AI Based Yield Mapping: Yield mapping is an agricultural technique that relies on supervised machine learning algorithms to find patterns in large-scale data sets and understand the orthogonality of them in real-time – all of which is invaluable for crop planning. It’s possible to know the potential yield rates of a given field before a vegetation cycle is ever started. Using a combination of machine learning techniques to analyze 3D mapping, social condition data from sensors and drone-based data of soil color, agricultural specialists can now predict the potential soil yields for a given crop. A series of flights are completed to get the most accurate data set possible. 

 

5.AI in Weeding: Weeding has always been a labour intensive activity, so much labour intensive that the approach to weeds has been to find chemicals that can selectively kill the weeds sparing the crop. This approach, still widely used, has the adverse effect in cost (herbicides add to the cost of the harvest) and in pollution.

                              This is where AI comes in with its wonderful technique. A machine has by an autonomous robot that is able to distinguish weeds from crop, even at the early stage when seeds are sprouting (watch the clip) and seedlings may look very similar. Using artificial intelligence the robots moves over the field “looking” at the soil and when it detects a weed it kills it by zapping it with a laser beam.

 

6.Weather Forecasting: Over the years we have experienced a drastic increase in the pollution level and unpredictable climatic conditions. The change in climate has made it difficult for farmers to determine the right time for sowing seeds and that’s where AI comes into the picture. With the help of artificial intelligence it is easy to gain insight into how weather, seasonal sunlight, wind speed, and rain will affect the crop planting cycles. Weather forecasting will help farmers analyze and plan when the seeds should be sown.

 

Conclusion: Artificial Intelligence in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.

                      Companies involved in improving machine learning or Artificial Intelligence-based products or services like training data for agriculture, drone, and automated machine making will get technological advancement in the future will provide more useful applications to this sector helping the world deal with food production issues for the growing population.                    


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