How artificial intelligence helps in agriculture


Top 5 ways how Artificial Intelligence can help in Agriculture

  • Using AI for Predictive Analysis for Harvestation. To have successful harvesting or failed harvesting year simply…
  • Weather Forecastating importance in agriculture. Weather conditions put a significant impact on agriculture, plants need…
  • Pervasive Automation in Farming. Pervasive automation is a technology…

AI systems are helping to improve the overall harvest quality and accuracy – known as precision agriculture. AI technology helps in detecting disease in plants, pests and poor nutrition of farms. AI sensors can detect and target weeds and then decide which herbicide to apply within the region.


How artificial intelligence can revolutionise agriculture?

  • In farming, different weather factors such as Rainfall, temperature, and humidity play an important role. …
  • For a better crop, it is necessary that the soil should be productive and have the required nutrition, such as Nitrogen, Phosphorous, and Potassium. …
  • In the agriculture lifecycle, it is required that we save our crops from weeds. …

How does artificial intelligence help farmers?

The Future of Farming: Artificial Intelligence and Agriculture

  • Global Warming and Agriculture: A Vicious Cycle. Global warming continues to threaten every aspect of our everyday lives, including crop production. …
  • The Benefits of AI for Environmentally-Conscious Agriculture. This is where AI enters the scene. …
  • The Risks of AI. …
  • Looking Forward: The Next Steps for AI in Agriculture. …

Is artificial intelligence the future of farming?

The vision system, built on artificial intelligence, will work with GPS to track the movement of the tractor inch by inch as it moves across the field. It allows the tractor to till a field and plants seeds in a straight line. The vehicle will also stop if an animal runs out in front of it.

What can AI and IoT do for agriculture?

  • Improved use of data collected from agriculture sensors;
  • Managing and governing the internal procedures within the smart agriculture environment including the management of the harvesting and storage of several crops;
  • Waste reduction and cost-saving;
  • Increasing production efficiency using automating traditional processes; and

More items…


What are the artificial intelligence in agriculture?

AI is an emerging technology in the field of agriculture. AI-based equipment and machines, has taken today’s agriculture system to a different level. This technology has enhanced crop production and improved real-time monitoring, harvesting, processing and marketing (Yanh et al., 2007).

How AI can help Indian farmers?

AI impact on India: How AI will transform Indian agricultureDetection of pests and weeds.Agricultural Robotics.Precision farming with the help of predictive analytics.Crop health assessment through drones.Soil monitoring system.AI-based price forecasting of crops based on historical data.More items…•

How many farmers use AI?

87% of U.S. agriculture businesses are currently using AI.

How machine learning is used in agriculture?

In pre-harvesting machine learning is used to capture the parameters of soil, seeds quality, fertilizer application, pruning, genetic and environmental conditions and irrigation. Focusing on each component it is important to minimize the overall losses in production.

How AI is used in Haryana?

Haryana government will use Artificial Intelligence (AI) along with drone images for assessing crop yield and crop losses. Pest, weed and diseases surveillance is also planned using satellite or drone images to be acquired at different intervals.

What is artificial intelligence in computer?

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

Using AI for Predictive Analysis for Harvestation

To have successful harvesting or failed harvesting year simply depends on the time period during which the seed was sowed. With the help of a predictive data tool analysis, we can input enough to find the best time period in which seed can be sowed.

Weather Forecastating importance in agriculture

Weather conditions put a significant impact on agriculture, plants need a certain amount of moisture, temperature, and sunlight to thrive and grow. Detail and accurate weather forecasting can help farmers to decide and plan some strategy to choose the correct method for plantation, types of seed for sowing, and maximize their profit margin.

Pervasive Automation in Farming

Pervasive automation is a technology employed by farmers to reduce the workload and increase the production of food. With the help of IoT, communication devices, sensors, and machine learning, now farmers can use a number of robots to get precise data so that they can manage their files without doing much manual labor.

Satellite Imaging

As satellite imaging becomes more reliable and sophisticated, farmers can track their real-time crop conditions, study soil properties, harvest prediction, and most important land usage.

Precision Farming

Precision Farming is a process in which farmers efficiently use their raw materials like soil, water, seeds, and fertilizers to increase their average yields when compared to the traditional cultivation process.

Benefits of using AI in agriculture

With a growing global population and scarcity of resources, there are challenges to sustainable food production. Technological advances, especially artificial intelligence (AI), can help make the whole food production process more efficient and improve the sustainability of agricultural techniques. A huge amount of experience and coordination.

Why adopt AI in agriculture

Farmers see AI as something that only applies to the digital world. They can’t see how it can help them work on the physical earth. This is not because they are conservative or wary of the unknown. Their resistance is due to a lack of understanding of the practical use of AI tools.

Use artificial intelligence in agriculture

Agriculture involves many processes and stages, most of which are manual. By perfecting the technologies adopted, AI can simplify the most complex and routine tasks. It can collect and process large data on digital platforms, come up with the best practices, and initiate this process in conjunction with other technologies.

Popular AI applications in agriculture

Companies are developing robots to handle agricultural tasks like harvesting crops at a higher volume and faster pace compared to human labor.

AI technologies to transform the agriculture

Some of the most promising AI technologies to transform the agricultural sector.

Problems can face while adopting AI in agriculture

Given the benefits of artificial intelligence for sustainable farming, the implementation of this technology seems like a logical step for every farmer. Some of the serious constraints are;

Key areas where AI can benefit agriculture

IoT (Internet of Things) produces large amounts of data every day in both structured and non-structured formats. They deal with historical weather patterns, soil reports, new research, rainfall, insect breeding, drone and camera imagery, and more.

How many farmers in China could lose their jobs due to automation?

This program does not bode well for the future of jobs in agriculture: many of China’s 250 million farmers could lose their jobs due to increased automation.

How does AI work?

AI works by processing large quantities of data, interpreting patterns in that data, and then translating these interpretations into actions that resemble those of a human being. Scientists have used it to develop self-driving cars and chess-playing computers, but the technology has expanded into another domain: agriculture. AI has the potential to spur more efficient methods of farming in order to combat global warming, but only with expanded regulation of its development.

What will happen to the sea level in 2100?

The result is growing food insecurity. And rising sea levels only compound the problem. By the year 2100, sea levels are expected to rise by one meter, which will have a detrimental impact on growers on the coasts whose crops cannot survive in areas where the water is too salty. However, agriculture is not just a victim of global warming, …

How does AI help farmers?

Farmers use AI for methods such as precision agriculture; they can monitor crop moisture, soil composition, and temperature in growing areas, enabling farmers to increase their yields by learning how to take care of their crops and determine the ideal amount of water or fertilizer to use.

Can AI find weeds?

Furthermore, some AI is being developed that can find and target weeds in a field with the appropriate amount of herbicide, eliminating the need for farmers to spread chemicals across entire fields and pollute the surrounding ecosystem. Some countries are already implementing AI into their agricultural methods.

Is AI expensive?

Additionally, AI can be expensive. Farmers might go into debt and will not be able to maintain the technology on their own as it suffers everyday wear-and-tear. Those unable to secure access to the technology will lose out to larger farms that can implement AI on a wide scale.

How does AI help farmers?

However, the use of AI can help farmers defend better against potential pests. By using cameras and satellite imagery , AI companies are providing farmers with smartphone apps capable of warning against incoming pests.

What is data capture and analysis?

Data capture and analysis — farms can set up setup, track and analyze a diverse set of data points thereby helping farmers make smarter decisions. This data analysis helps in arriving at much smarter approaches to the problems at hand and helps in better decision making.

Can artificial intelligence replace human labor?

The nature of most of these applications doesn’t outright replace human labor either. The artificial intelligence can work alongside the farmer to help produce the best results. As the population of the world continues to grow, the agricultural sector needs to increase its output.

Can AI evolve?

AI can evolve continuously, thanks to machine learning. After the inception of the AI industry, applications for agriculture have started to emerge and represent a very promising future. We’ll have a look at these applications in-depth to better understand the role of artificial intelligence in agriculture.

Advantages of AI implementation in Agriculture

The use of the AI approach in agriculture assists farmers to comprehend valuable data insights like temperature, wind speed, solar radiation, and precipitation. The best thing about the implementation of AI in agriculture is that it does not involve the risk of eliminating the jobs of farmers rather it enhances their processes.

Agricultural Robotics

AI businesses are creating robots that can perform several tasks easily in farming fields. Agricultural robots are trained not only to control weeds but also to harvest crops at a faster speed and with greater volumes compared to humans.

AI system to detect pests

Pests are bad enemies of farmers which damage crops. AI solutions employ satellite images and then compare them with previous data using AI algorithms. That’s how they detect if any insect landed like a locust, grasshopper, etc. AI systems then send alerts to farmers so that the farmers can take precautions and use pest control measures.

AI helps analyze farm data

Farms produce many thousands of data points every day. AI helps farmers analyze several things in real-time like weather conditions, soil usage, and temperature so that the farmers can make better decisions.

Precision Agriculture

AI systems also help farmers to better harvest quality and even improve accuracy. Precision agriculture employs an AI approach to help detect pests and diseases in plants. AI sensors easily detect and target weeds to decide which herbicides should be applied within the right buffer zone.

Autonomous Tractors

There is a huge investment in developing autonomous tractors for several needs. The agricultural sector will get a lot of benefits from these driverless tractors. With AI technology and machine learning data for agriculture, the agricultural sector will be revolutionized by the use of autonomous tractors.

Crops Health Monitoring

Continuous deforestation and deterioration of soil quality are a big challenge for countries producing food on a large scale.

How can AI help farmers?

Decrease pesticide usage. Farmers can use AI to manage weeds by implementing computer vision, robotics, and machine learning. With the help of the AI, data are gathered to keep a check on the weed which helps the farmers to spray chemicals only where the weeds are.

Why is artificial intelligence important in agriculture?

The use of Artificial intelligence in agriculture helps the farmers to understand the data insights such as temperature, precipitation, wind speed, and solar radiation. The data analysis of historic values, offers a better comparison of the desired outcomes. The best part of implementing AI in agriculture that it won’t eliminate the jobs …

What is the market size of AI in agriculture?

The Market study report stated that the global Artificial Intelligence (AI) in Agriculture market size is expected to reach 1550 million US$ by the end of 2025. Implementing AI-empowered approaches could detect diseases or climate changes sooner and respond smartly. The businesses in agriculture with the help of AI are processing …

How does AI help agriculture?

Likewise. AI in agriculture is helping farmers to improve their efficiency and reduce environmental hostile impacts. The agriculture industry strongly and openly embraced AI into their practice to change the overall outcome. AI is shifting the way our food is produced where the agricultural sector’s emissions have decreased by 20%. Adapting AI technology is helping to control and manage any uninvited natural condition.

What is Plantix app?

A German company called PEAT has created Plantix, a mobile app that uses image recognition to detect plant diseases, pests, and soil deficiencies affecting plant health. Farmers and gardeners take a simple smartphone picture of their affected, and PEAT’s server identifies the pathogens or pests that are affecting the plants using deep learning built into image recognition software. Plantix then automatically recommends control options back to the user’s smartphone.

What is John Deere’s robot?

John Deere recently invested $305 million to acquire Blue River Technology, a seven-year-old tech company that developed a robot called “See and Spray.” It uses computer vision, robotics, and machine learning to precisely manage weeds. Instead of spraying an entire field, the system can find and spray only where the weeds are. The system is not only efficient in the sense that it is faster than humans, but it also reduces up to 90% of the volume of chemicals normally sprayed and helps reduce herbicide resistance, according to the company.

What is a where?

aWhere, a Colorado-based B Corporation, is using satellite imagery to gather over 7 billion data points around the world daily. It then uses machine learning to forecast weather, analyze crops, and help farmers increase yields and profits. Although aWhere monitors growing regions throughout the world, it delivers localized information and recommendations to the farmers who use its services. It also forecasts the output of crops around the world, which helps farmers foresee price volatility and respond accordingly.


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