pctechguide.com

  • Home
  • Guides
  • Tutorials
  • Articles
  • Reviews
  • Glossary
  • Contact

Five applications of artificial intelligence in agriculture

Machine learning has affected many industries and agriculture is no exception. In this post, we are going to analyze the advantages of its implementation, as well as the factors that discourage farmers from implementing it.

Artificial intelligence creates new possibilities for generating value in agriculture, which are indispensable to ecological evolution. They include reducing inputs and automating mundane tasks.

Digitalization has brought new terms to the vocabulary used in agriculture. Today, it is common to hear the following terms: precision agriculture, sensorics, augmented and virtual reality, internet of things, massive data analysis or Agriculture 4.0. Although there is one that stands out above all: artificial intelligence.

Computer awareness

There are many definitions given to refer to artificial intelligence. It consists of mixing different algorithms to obtain models with the ability to mimic human beings. The concepts emphasize four objectives. These differentiate the type of intelligence based on its rationality and thinking.

In a simplified version, the artificial intelligence is a sister to programming and computers, in order to obtain tools capable of solving problems.

Classification of artificial intelligences

Decision-making systems can be differentiated into different types and subcategories.

In the first place, we distinguish what is known as weak or narrow artificial intelligence (ANI, Artificial Narrow Intelligence). Its functionality is limited to performing specific tasks and is present in most commonly used intelligent tools, such as the virtual assistants Siri or Alexa.

Secondly, strong artificial intelligence, which is composed in turn between general (AGI, Artificial General Intelligence) or superior (ASI, Artificial Super Intelligence).

AGI would have a capacity similar to that of a human being. Its algorithms give it some level of self-awareness that allows it to face problems, acquire knowledge and project the future. ASI would surpass human intellect.

The strong artificial intelligence approach presents a theoretical-experimental character. Research centers and large developers are assembling use cases with this orientation.

Two subcategories of artificial intelligence are also highlighted: machine learning and deep learning. The latter is part of the former and consists of different algorithms of intelligent systems that forge expert models to make projections or classifications.

Artificial intelligence categories

The difference between the two subcategories lies in the way the algorithms learn. Deep intelligence is composed of neural networks with more than three layers, including input and output, and is capable of automating the development of the process.

Deep learning enables the use of larger data sets. In addition, unstructured data can be used. The model is able to provide its hierarchy, regardless of whether the primary data source is labeled or not.

Intelligent agriculture

The auxiliary industry of the agri-food system is developing products and services based on artificial intelligence.

The data generated by the sectors included in this economic activity make it possible to generate major innovations, as reported by the European Union.

Tools for irrigation and fertilization

The Green Revolution brought with it the introduction of agrochemicals in the agricultural field and an expansion of irrigation. This has led to a tripling of the consumption of natural resources in just fifty years.

Artificial intelligence systems have integrated algorithms capable of calculating the water demand of crops, which is determined through the evapotranspiration of the plant species.

At Plataforma Tierra we offer a tool for calculating water and fertilization needs.

The values used can be obtained from pre-established databases, weather stations, dendrometers, soil water sensors or hyperspectral images.

The use of one data source or another depends on the degree of sophistication of the model used. The use of data collected in situ increases the accuracy of the values offered, as they are adapted to the requirements of each agricultural field.

Artificial intelligence systems need the integration of all the technologies generated in this Technological Revolution to increase the accuracy of the values provided.

It is common that these systems also determine the nutritional needs of vegetables. Based on soil nutrients, water and amendments applied to the soil profile, the tools provide farmers with the amount of fertilizer to apply to the crop at each growth stage.

These systems can reduce input demand by up to 65%.

On the other hand, the application of the models has been extrapolated to irrigation networks to provide a solution for the integrated and sustainable management of the water cycle.

Intelligent traceability systems can detect water leaks and reduce water and energy losses by 30%. 

Tools for pathology identification

Biotic stresses can cause production losses of up to 40%. Therefore, early detection of pathologies affecting crops is of paramount importance.

Part of the algorithms can use meteorological data from nearby stations (temperature, humidity, rainfall, wind, etc.) to calculate the probability rate of incidence of pests and diseases. The system alerts growers to the possibility of incidence.

The expansion of new categories of artificial intelligence has allowed expanding the functionalities of model detection systems capable of diagnosing, from a photograph, the picture of plant symptoms, together with the alternatives available for their control. They can be integrated into autonomous driving vehicles.

Autonomous robot for continuous pest scouting in greenhouses.

Source: Tekeniker TV.

Also, the models can detect the early incidence of pests and diseases by analyzing high-resolution hyperspectral and thermal images for detection.

Selective applicators

Excessive application of agrochemicals can have major impacts on ecosystems, negatively affecting their biodiversity and human health.

The need to reduce the addition of these compounds has led to the development of selective applicators, both for pesticides and fertilizers, which are controlled by computer systems.

The equipment can detect, through ultrasonic or optical sensors, individual targets with an accuracy of up to 95%. The artificial intelligence system triggers the emission of agrochemicals only on the plants of interest.

Filed Under: Articles

Latest Articles

How OE Stores Files on Your Hard Disk

Outlook Express has been one of Microsoft's most cherished killer apps in recent years. If the latest trends are any indication, OE will continue to be the number one business management programs for at least another PC generation. The ability of OE to seamlessly register your important … [Read More...]

Online Gambling Niche — State, Trends, Prospects

In 2021, people continue to stay at home, relaxing with various gadgets, and this is a great opportunity for affiliates to extend their gambling audience. The previous 2020 year has shown good results for the gambling industry. Many countries have simplified the legal framework for gambling, and … [Read More...]

Findamo.com Virus Removal Guide

  The Findamo.com virus belongs to a type of malware that has the sole purpose of redirecting and leading to a browser hijacker infection. This will make the user surfing experience prone to redirecting virus online and compromise the internet security. The Method of Infiltration Every … [Read More...]

Revolutionize Your Internet Experience with Orbi 960 – The Ultimate WiFi System

In a world where seamless connectivity is essential, slow and unreliable internet connections are a major problem. Whether you are running a business, … [Read More...]

Do You Need a VPN When Trading Cryptocurrency?

There’s no doubt that the biggest global industries in 2023 are tech-driven, while there remains a significant crossover between many of these … [Read More...]

Goodbye Bitcoin: the 3 alternative cryptocurrencies that have great upside potential, according to experts

Bitcoin has been a very lucrative investment for people that got into it early. One report from The Motley Fool pointed out that $10 of bitcoin … [Read More...]

Self-driving cars face their Achilles’ heel and may be targets of hackers

The market for self-driving cars is booming. Customers spent $22.22 billion on these autonomous vehicles in 2021 and they will likely spend more in … [Read More...]

How to avoid scams with bitcoin and other cryptocurrencies

Cryptocurrencies got a bad reputation when scams multiplied like ants on a piece of cake. Even today many people associate bitcoin and other … [Read More...]

WHAT IS CLOUD COMPUTING AND WHAT ARE ITS MAIN BENEFITS?

Users are Increasingly using cloud computing to store their information, which is replacing local storage. The business digitization process goes … [Read More...]

Guides

  • Computer Communications
  • Mobile Computing
  • PC Components
  • PC Data Storage
  • PC Input-Output
  • PC Multimedia
  • Processors (CPUs)

Recent Posts

Tips to Getting Engagement that Works the Instagram Algorithm in Your Favor

Building a formidable presence on Instagram these days requires much planning and patience. With over a billion active users, the site is rocketing in … [Read More...]

Basic structure of a Pentium microprocessor

A Pentium processor's major functional components are: Core: The heart of a Pentium is the execution unit. The Pentium has two parallel integer … [Read More...]

USB On-The-Go – USB technology for PDAs and mobile phones

The recent explosion in the number of digital electronics devices on the market has fuelled the need for an industry standard method of … [Read More...]

[footer_backtotop]

Copyright © 2023 About | Privacy | Contact Information | Wrtie For Us | Disclaimer | Copyright License | Authors