How ai can be used in agriculture


Artificial Intelligence And Its Uses In Ag Irrigation

  • Scheduling & Efficiency. There is an abundance of ways in which IoT devices and AI could potentially be applied to benefit irrigation.
  • Environmental Influence. As another example, AI can be used to determine how environmental factors influence the crops being irrigated.
  • Real-World Problems. …
  • Taking to the Sky. …

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 can AI help in agriculture?

The major AI applications in making agriculture a smart field fall in three categories, including:

  • Agriculture Robots (Agbots)
  • Drones, Satellites, and Planes
  • Smartphone Apps

How AI is transforming agriculture?

  • Small and fragmented land-holdings
  • Shortage of good quality seeds, manures, fertilizers and biocides for poor peasants.
  • Problem of Irrigation and heavy dependence on monsoon
  • Lack of mechanization
  • Soil Erosion
  • Absence of proper agricultural marketing facilities

What does Ai stand for in agriculture?

Appreciative Inquiry: AI: Ascension Island (South Atlantic oceanic island) AI: Area of Interest: AI: Adequate Intake (Institute of Medicine nutrition standard) AI: Active Ingredient: AI: Avian Influenza (aka Bird Flu) AI: Academic Institution (education) AI: Application Integration: AI: Agenda Item (various organizations) AI: Artificial Insemination: AI: Anti-Inflammatory: AI

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…


Is AI beneficial for agriculture?

AI, machine learning (ML) and the IoT sensors that provide real-time data for algorithms increase agricultural efficiencies, improve crop yields and reduce food production costs.

How AI can help Indian farmers?

Artificial Intelligence (AI) is being used by the agriculture industry to help produce healthier crops, control pests, monitor soil and growing conditions, organise data for farmers, reduce effort, and improve a wide range of agriculture-related operations along the food supply chain.

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.

Which country uses AI in agriculture?

The Kenyan company Apollo Agriculture uses AI to interpret satellite data, soil data, farmer behavior, and crop yield models. The data interpretation algorithms are targeted at detecting plant pests and diseases and give farmers access to customized financing, seed, and fertilizer packages.

How many farmers use AI?

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

What is artificial farming?

This practice refers to an indoor method of farming, such as vertical farms and greenhouses. Both farm practices manage crop growth by combining the hydroponic, aeroponic and aquaponic systems.

How do robots help agriculture?

The main area of application of robots in agriculture today is at the harvesting stage. Emerging applications of robots or drones in agriculture include weed control, cloud seeding, planting seeds, harvesting, environmental monitoring and soil analysis.

How can IoT help in agriculture?

On farms, IOT allows devices across a farm to measure all kinds of data remotely and provide this information to the farmer in real time. IOT devices can gather information like soil moisture, chemical application, dam levels and livestock health – as well as monitor fences vehicles and weather.

How Python is useful in agriculture?

Python is also being used for developing the IoT devices. AI is assisting IoT in enabling real-time data analytics to help make informed decisions to farmers. Precision agriculture or smart Agriculture relies on emerging technologies such as AI, ML and data analytics to revolutionize farming practices.

How can AI be useful in agriculture?

Agriculture involves a number of processes and stages, the lion’s share of which are manual. By complementing adopted technologies, AI can facilitate the most complex and routine tasks.

How does AI help farmers?

AI can provide farmers with real-time insights from their fields, allowing them to identify areas that need irrigation, fertilization, or pesticide treatment. Also, innovative farming practices like vertical agriculture may help increase food production while minimizing the use of resources.

What are some examples of farmers getting their work done without hiring more people?

Driverless tractors, smart irrigation and fertilizing systems, smart spraying, and AI-based robots for harvesting are some examples of how farmers can get the work done without having to hire more people. Compared with any human farm worker, AI-driven tools are faster, hardier, and more accurate.

What is precision farming?

One particular farm management approach — precision agriculture — can help farmers grow more crops with fewer resources. Precision agriculture powered by AI could become the next big thing in farming. Precision farming combines the best soil management practices, variable rate technology, and the most effective data management practices to help farmers maximize yields and minimize spending.

How can farmers use IoT?

Farmers can use IoT sensors and other supporting technology (e.g. drones, GIS, and other tools) to monitor, measure, and store data from fields on a variety of metrics in real time. By combining AI farming tools with IoT devices and software, farmers can get more accurate information faster.

What is the key to precision agriculture?

Taken together, AI, autonomous tractors, and IoT are the key to precision agriculture. Another less common but rapidly growing technology is robotics. Agricultural robots are already being used for manual work, such as picking fruits and vegetables and thinning lettuce.

Why do farmers resist AI?

This is not because they’re conservative or wary of the unknown. Their resistance is caused by a lack of understanding of the practical application of AI tools.

Insect and plant disease detection

We’ve seen how AI computer vision can detect and analyze crop maturity and soil quality, but what about agricultural conditions that are less predictable?

Livestock health monitoring

So far we’ve focused mainly on plants, but there’s more to agriculture than wheat, tomatoes, and apples.

Intelligent spraying

We’ve seen that computer vision is good at spotting disorders in agriculture, but it can also help with preventing them.

Automatic weeding

Intelligent sprayers aren’t the only AI getting into weed… er, weeding. There are other computer vision robots taking an even more direct approach to eliminating unwanted plants.

Aerial survey and imaging

At this point it’s probably unsurprising that computer vision also has some terrific applications for surveying land and keeping an eye on crops and livestock.

Produce grading and sorting

Finally, AI computer vision can continue to help farmers even once the crops have been harvested.

The future of AI in Agriculture: Farmers as AI engineers?

Throughout human history, technology has long been used in agriculture to improve efficiency and reduce the amount of intensive human labor involved in farming. From improved plows to irrigation, tractors to modern AI, it’s an evolution that humans and agriculture have undergone since the invention of farming.

How is AI used in agriculture?

AI can be used in agriculture in many areas like from growing crops, to harvesting and keeping control of insects through aerial view monitoring on crops or spraying the pesticides. Actually, AI-enabled devices and machines can play many roles in agriculture and farming.

What is machine learning?

Machine learning is the branch of AI, and such AI models cannot be developed without using the machine learning process. The ML process involves using the training datasets into an algorithms to learn the certain patterns and predict the results learnt from such data sets.

How does AI help agriculture?

Artificial Intelligence (AI) plays a vital role in boosting agriculture and farming thus helping agriculture-based economies to grow. Agriculture can take benefit from the emerging technologies like AI-based Automated Robotic Systems to optimize irrigation, crop monitoring, farming, automate spraying and optimize the exercise …

What are agriculture robots?

Agriculture Robots (Agbots) Drones, Satellites, and Planes. Smartphone Apps. 1. Agriculture Robotics. In the modern world, there is no need to spend days and nights on farms to combat pests and weeds. Artificial organizations are working to develop robots exceptional in performing multiple tasks in real-time.

Why is drone technology important?

Drone technology is beneficial for providing high-quality imaging and improving crop monitoring procedure. It analyses, scans, and collects field data in real-time and assist in identifying crop progress stage. For instance, it tells about their health, any disease, pest attack, and when they become ready. Besides, this technology involves overall field management and means when crops need water, fertilizer, pesticides, or soil. Machine Learning in this process helps to ensure crop health and soil (strengths and weaknesses). It allows only healthy crops to grow in the field while eliminating the bad ones.

What is smart agriculture?

Smart agriculture comes with software for picking and harvesting crop, fighting with weeds and pests, analyzing weather and soil conditions. Investment in this smart field means to increase the chances of higher productivity and balancing quality food requirements.

Why do farmers use planes?

Pros of Using Planes. Farmers can access valuable information about crop health if they use planes or satellites for image capturing. Unlike drones, they can cover a large area on a large scale. Drones are good to take a close-up of fields while planes are used to capture images from many kilometres.

Why is machine learning important?

Machine Learning in this process helps to ensure crop health and soil (strengths and weaknesses). It allows only healthy crops to grow in the field while eliminating the bad ones.

Why is the Smart See and Spray model used?

The Smart See and Spray Model helps in distinguishing “Good Plants” and “Bad Weeds”. The farmers use this technology for cotton fields but can also be used for the whole industry.

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.

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.

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.

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.

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.

How does AI help in agriculture?

Precision agriculture uses AI technology to aid in detecting diseases in plants, pests, and poor plant nutrition on farms. AI sensors can detect and target weeds and then decide which herbicides to apply within the right buffer zone.

What can farmers analyze in real time?

With the help of AI, farmers can now analyze a variety of things in real time such as weather conditions, temperature, water usage or soil conditions collected from their farm to better inform their decisions.

How do bots help farmers?

These bots can harvest crops at a higher volume and faster pace than human laborers, more accurately identify and eliminate weeds, and reduce costs for farms by having a round the clock labor force.

Why do farmers need workers?

Traditionally farms have needed many workers, mostly seasonal, to harvest crops and keep farms productive. However, as we have moved away from being an agrarian society with large quantities of people living on farms to now large quantities of people living in cities less people are able and willing to tend to the land.

What are chatbots used for?

Chatbots help answer a variety of questions and provide advice and recommendations on specific farm problems. Chatbots are already being used in numerous other industries with great success.


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