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Artificial Intelligence in Agriculture

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This article was published as a part of the Data Science Blogathon. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception. Recent advancements have already led to invention that previously lived in the realm of science fiction – and we have only scratched the surface of what's possible" – JEFF BEZOS, Amazon CEO Some examples, vision-recognition systems on self-driving cars, in the recommendation engines that suggest products you might like based on what you bought in the past, speech, and language recognition of the Siri virtual assistant on the Apple iPhone. AI is making a huge impact in all domains of the industry.


Artificial Intelligence in Agriculture. Part 1: How Farming is Going Automated with Robots – AI.Business

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The global population is expected to reach 9 billion people by 2050, which means double agricultural production in order to meet food demands. Farm enterprises require new and innovative technologies to face and overcome these challenges. Artificial intelligence robotics is one of these technologies that promises to provide a solution. An increasing number of farmbots are being developed that are capable of complex tasks that have not been possible with the large-scale agricultural machinery in the past. Here's a list of real use cases of robots that will help agriculture changing.


How AI Is Transforming the Future of Agriculture Industry

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Artificial intelligence technology is supporting different sectors to boost productivity and efficiency. AI solutions are assisting to overcome the traditional challenges in every field. 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%.


From identifying plant pests to picking fruit, AI is reinventing how farmers produce your food

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These Indian subsistence farmers know just what to do: Pull out their smartphones and take their picture. The farmers then upload the images with GPS locations to a cloud-based artificial intelligence (AI) app named Plantix. The app identifies the crop type in the image and spits out a diagnosis of a disease, pest or nutrient deficiency. Plantix also aids farmers by recommending targeted biological or chemical treatments for ailing plants, reducing the volume of agrochemicals in groundwater and waterways that can result from overuse or incorrect application of herbicides and pesticides.


The Role of Artificial intelligence in Agriculture Sector

#artificialintelligence

Artificial intelligence technology is supporting different sectors to boost productivity and efficiency. AI solutions are assisting to overcome the traditional challenges in every field. 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%.