AI and data science
John Bourne, Vice President of Marketing Ceres Imaging, discusses key trends shaping the future of AI in agriculture.
“Computer vision and deep learning algorithms are being leveraged by agricultural technology companies to process data captured from aerial imagery, enabling growers to monitor and manage crop and soil health. Over time, these AI/machine learning models develop to track and predict various environmental impacts such as water stress, disease, and pest infiltration Growers will increasingly seek to use this historical data to predict the season’s performance and analyze the return on investment on various potential fixes or investments they can make to improve performance.
“Artificial intelligence and data science are important because they will allow producers to make better decisions in an increasingly complex time. In a world that will be faced with rapidly increasing food demand, climate change, a continued decline in the number of agricultural workers and long-term sustainability concerns, farmers will seek to adopt smarter tools that will give them a advantage and the confidence to solve problems with certainty.”