Machine learning algorithms are helping scientists analyze and predict grain quality and nutritional content for rice breeding
The technology promises to accelerate the development of rice varieties that meet consumer preferences, enhance nutritional value, and contribute to global food security. By Dr. Rhowell Tiozon and Glenn Concepcion Over 3.5 billion people, particularly in Asia and Africa, rely on rice for a significant portion of their caloric intake every day, making its quality and nutrition critical for health and