Role of Artificial Intelligence in Agriculture

ai in agriculture

Artificial Intelligence In Agriculture


Urbanisation is speeding up, and the world population is rising. Consumer behaviour is changing as disposable money increases. Farmers desire a way to increase output since they are under so much pressure to fulfil the growing demand. In thirty years, there will be more people to feed. Furthermore, innovative agricultural methods will be required because there is a limited supply of fertile soil.

We must develop methods to help farmers lessen their risks or, at the absolute least, manage them. One of the most thrilling possibilities is the global use of artificial intelligence in agriculture.

AI has the potential to completely alter the way we think about agriculture by enabling farmers to have better results with less action while also bringing about several other advantages. AI, however, is not a stand-alone technology. AI may improve already-established technologies as the next step in transforming conventional to creative farming.

Agribusinesses need to realise that AI is not a magic bullet. However, technology may help with little everyday activities and make farming easier in many different ways. How, therefore, might artificial intelligence be used to support sustainable agriculture? What are the possible applications of AI in agriculture, and how may AI help us solve our existing problems?


Artificial Intelligence

Artificial intelligence (AI) is the idea that human intelligence may be characterised in a way that allows computers to quickly reproduce and do tasks ranging from the simplest to the most complicated. Learning, reasoning, and perception are the goals of AI.

Some examples are self-driving car visual recognition systems, recommendation systems that make suggestions based on past purchases, and voice and language recognition in Apple’s Siri virtual assistant on the iPhone.

AI is significantly impacting all sectors. Every industry is working to leverage clever technologies to automate particular jobs.

Among the oldest and numerous essential professions in the world are agriculture and farming. In terms of the economy, it is pretty crucial. The global agriculture industry is worth $5 trillion.


How can AI help in agriculture?

Here are some infrequent ways in which AI can be very beneficial for agriculture –

1. Utilisation of weather forecasting

Farmers find it challenging to decide when to plant seeds because of changing climatic conditions and rising pollution. Farmers can plan the sort of crop that can be cultivated and when seeds should be sowed by utilising weather forecasting and artificial intelligence to analyse weather conditions.

2. System for keeping an eye on crop and soil health

The type of crop planted and the quality of the products are influenced by the kind of soil and its nutrition. It is challenging to quantify soil quality because of worsening soil conditions brought on by rising deforestation.

3. Crop health analysis using drones

In this technique, a drone gathers information from the fields, which is then transferred to a computer through a USB drive and evaluated by experts. In this method, algorithms are used to analyse the captured images and then a thorough report is delivered on the state of the farm. It helps farmers recognise pests and pathogens so they can use pest control and other strategies as necessary.

4. Precision farming and predictive analytics

Artificial intelligence (AI) applications in agriculture have created tools and applications that help farmers practise precise and controlled farming by giving them the right advice on how to manage their water use, rotate their crops, harvest their crops on schedule, choose the right products to grow, plant their produce at the right time, deal with pest infestations, and manage their nutrition.

AI-enabled technologies use temperature, precipitation, wind speed, and solar radiation data in conjunction with machine learning algorithms and images taken by satellites and drones to predict weather conditions, analyse crop sustainability, and assess farms for the existence of diseases or pests and inadequate plant nutrition.

5. Agricultural Robotics

Companies using artificial intelligence are building robots that can efficiently perform various tasks in agricultural settings. This robot gathers crops faster and more thoroughly than humans can.

These robots are taught to select and package crops while inspecting crop quality and weed detection. These machines can also handle the difficulties faced by agricultural labourers.

6. The AI-powered pest identification system

Pests are among farmers’ worst enemies since they destroy their crops. To assess whether or not an insect has landed and what kind of bug has landed, such as a grasshopper or a locust, AI systems use satellite photos and compare them to previous data using AI algorithms. AI helps farmers with pest control by sending alerts to their cellphones to take the appropriate action and use essential pest management.


How can using AI be challenging for farmers?

Considering the advantages of AI for sustainable farming, any farmer may think it makes sense to use this technology. There are still some critical restrictions, though.

1. Protracted adoption of technologies

Farmers must understand that artificial intelligence for processing, obtaining, and monitoring field data is a more sophisticated version of essential technologies. To operate, AI needs a solid technological foundation. As a result, it could be challenging for farms—even those with some technology—to advance.

Additionally, this is an issue for software companies. The best way to engage farmers gradually starts with fundamental tools like an agro commerce platform. After farmers acclimate to a more straightforward option, it will be reasonable to step up and provide something more, like AI features.

2. Inadequate familiarity with emerging technology

Emerging economies’ agricultural industries are distinct from those in Western Europe and the United States. Artificial intelligence in agriculture may be advantageous in some regions, but it may be challenging to market such technology in areas where agricultural technology is not widely used. Farmers will undoubtedly need help putting it into practice.

Therefore, IT companies that want to do business in developing agricultural economies might need to be proactive. Farmers and owners of agribusinesses that are prepared to adopt innovative solutions in addition to their products will require training and ongoing support.

3. Worries about security and privacy

Precision agriculture and smart farming raise various legal issues that usually go unanswered since there are no clear rules and laws governing the use of AI in agriculture. Farmers may experience significant difficulties due to security and privacy risks like cyberattacks and data breaches. Unfortunately, these difficulties put a lot of farmers in danger.


Final words

Using precision cultivation to boost crop yield and quality while using fewer resources is another way that artificial intelligence in agriculture is helping farmers.

The world will benefit from technological development in the future by being able to address issues with food production for a growing population. Companies involved in improving machine learning or Artificial Intelligence-based products or services, such as training data for agriculture, drones, and automated machine making.


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