How AI Can Help In Agriculture
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Artificial intelligence (AI) is a technology that exhibits behavior that could be interpreted as human intelligence. Can we apply artificial intelligence in agriculture? Can a computer be better than man in making decisions related to other living organisms in a complex environment? Can an algorithm beat farmer’s gut instinct and experience?
AI having applications in various sectors including agriculture has completely transformed the approaches of the agriculture market. AI in Agriculture helps the farmers in examining weather, soil, and field data to improve farming operations and crop productivity. AI in the agriculture market seems to be driven by the Internet of Things (IoT) due to its ability to revolutionize and transform current farming methods to a new level. Although, collecting accurate field data requires high initial investments which may hamper the growth of AI in the agriculture market.
Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the industry’s technological evolution.
In this article we explore applications of artificial intelligence to provide business leaders with an understanding of current and emerging trends, and present representative examples of popular applications.
Some of the leading companies influencing the market are
1. Ag Leader Technology
2. Trimble Inc.
3. Agribotix LLC
4. Granular, Inc.
5. SAP
6. Mavrx Inc.
7. PrecisionHawk
8. aWhere
9. IBM
10. Prospera Technologies