Artificial intelligence (AI) has made tremendous advances in the past several years, and we are now seeing it infiltrate its way into virtually every sector of society. One sector where this is more pronounced than ever before is agriculture. It might seem counter-intuitive that AI should be used to solve problems in agriculture, but when you consider just how much data farms around the world produce each year, it becomes clear how valuable that data can be to other departments and subsidiary enterprises within a single farm’s system (such as soil conservation or weather forecasting).
Agronomical Insights
Artificial intelligence is a collection of tools that help machines learn from patterns and make decisions based on data
The technology has been used for decades, but has become more prevalent in recent years, thanks to the increase of computing power and massive data sets. Artificial intelligence is now applied to a variety of industries, including agriculture.
As one of the most prominent uses of artificial intelligence in agriculture, agronomical insights provide farmers with data-driven recommendations that are specific to the needs of their crops and fields. The tools use machine learning to help farmers improve yields while being more environmentally friendly. Insights can be delivered via mobile devices or desktop computers.
Crop health
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of artificial intelligence include expert systems, speech recognition and machine vision.
By using satellite imagery, drones can monitor a number of factors that affect crop health including weather conditions and soil quality. This analysis can be done in a matter of seconds and can provide farmers with early warning signs about issues such as nitrogen deficiency, fungal infections, pest infestations, waterlogging and poor drainage. In addition to monitoring crop health, drones can also be used to monitor livestock and assess their overall condition.
Crop spraying
Drones are also being used to spray pesticides on crops. This helps farmers protect their crops from harmful pests like aphids, which cause significant crop damage each year. By reducing the amount of pesticides sprayed on crops, the use of drones saves money while significantly reducing the environmental impact of farming.
Crop phenotyping and yield prediction
In the last few years, artificial intelligence (AI) has become a hot topic in agriculture. The food industry is using AI to improve crop yields, help farmers feed the world and reduce the environmental impact of agriculture.
As with any hot technology, there’s lots of hype around AI in agriculture. But it’s not all just hype. Here are three ways that AI is being used in agriculture today:
The food industry uses AI to increase crop production and reduce environmental impact of agriculture
Crop phenotyping is a critical process for breeders and seed companies. Plant breeders need to see exactly how their crops are growing so they can determine which crops are best suited for different environments.
Traditionally, plant breeders would do this by hand, visiting fields and examining plants, taking notes on growth patterns and other characteristics. But this is a time-consuming process and doesn’t provide enough data to be statistically significant.
Weather forecasting
Weather forecasting is an important aspect of agriculture. Artificial intelligence can be used to make predictions about weather – changes to help farmers prepare for the seasons ahead. It can help farmers know when to plant and harvest, and what to plant based on the predicted weather conditions.
Pest control
Artificial intelligence can also be used in pest control by identifying pests that try to infest a farm or garden, hunting them down and killing them before they cause any damage.
Livestock management
Artificial intelligence is one of the newest technologies that is swiftly revolutionizing the livestock industry. The wide spread use of artificial intelligence in livestock farming promises to make farm management easier and ensures higher productivity. This article will look at how artificial intelligence can be used as a tool that allows livestock farmers to connect farm operation data, collect critical insights and take actionable decisions using real-time visualizations to manage their operations more efficiently.
The agriculture industry is currently using AI in four main areas: soil and plant health, livestock, crop management, and weed control. Agricultural AI helps to track and monitor all aspects of natural resources like soil quality, crop growth, etc. Further, for almost every aspect of the agricultural industry there is a software provider who has created an artificial intelligence application to streamline the building and maintenance of various equipment.
Artificial intelligence, as you might already know, is already being put to good use by businesses all over the world. For example, recent developments have allowed AI to make better use of satellites and drones. Robots are also starting to be more widely used, too.
