Fostering agriculture by leveraging artificial intelligence in genomics


Agriculture plays a significant role in shaping the economy of a country and this is why automation in agriculture is one of the main concerns of the modern world. To enhance the possibilities of AI, researchers are working on infusing technology into genomics to further establish a strong agriculture ground for the future.

Natural factors have propelled the industry into seeking more innovative approaches to protecting and improving crop yield, and as a result, Artificial Intelligence (AI) is steadily emerging as part of the industry’s technological evolution. Applications like agriculture robots, crop and soil monitoring and predictive analysis are taking centre stage in leading agriculture through technology. Additionally, AI is also helping farmers figure a variety of real-time situations, weather conditions and temperature to be better inform their decisions.

Because of the urgent need to accelerate breeding novel crops with higher production, drought or heat tolerance, and less pesticide usage, researchers are currently looking for ways to intrude genomics using AI applications. Genomics is a branch of molecular biology focused on studying all aspects of a genome and its advances offer the potential to speed up the process of developing crops with promising agronomic traits. Agriculture genomics is the application to improve productivity and sustainability in crop and livestock production. Using modern technology, farmers and researchers can easily identify the genetic markers linked to desirable traits, informing cultivation and breeding decisions.

Genomics opens the door to potentially improve soil quality and crop yield. By leveraging technology into genomics, the agriculture sector can thrive in the digital era where people are more concerned about the urban area and are leaving the farming background behind. Genomics could make cultivation easy that people living in cities can enable indoor farming and vertical farming methods.

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