As 2050 approaches, the global population is projected to reach 9.7 billion, necessitating a significant increase in food production. Unfortunately, the hunger problem persists, with over 1 billion people going to bed hungry each day in 2021, and experts say the issue has been worsening over the last five years. Fortunately, many experts agree that modern technology, including artificial intelligence (AI), can improve the world’s outlook on food production.
Climate change, which causes shifts in temperature and precipitation patterns, is partly to blame for the change in the growth of crops and the availability of water for irrigation. These climate and landscape changes, in turn, lead to reduced crop yields. Modern technology can use satellite imaging to assess deforestation, and by differentiating between trees, crops, forested areas and clear-cut areas, experts can identify zones that need protection and help enforce regulations to prevent further damage.
A second contributing factor to worldwide food production is crop performance. AI has also seen utility in its ability to improve crop performance by using spectral and radar-based analysis from satellites, combined with weather, planting and soil data, to make recommendations for maximizing crop yield. Machine learning compares data sets across different regions and aligns recommendations based on regional differences.
Agricultural experts are also using AI to support the productivity of animals, specifically cows, which are influenced by a range of environmental, management and hereditary factors. Machine learning and statistical analysis are employed with some postulating to analyze and predict the traits that may be inherited as well as the resulting performance of
Read more on cointelegraph.com