Application of artificial intelligence and mobile technologies for effective monitoring of grain crop yields
Introduction Grain consumption has increased significantly in recent years. According to the Food and Agriculture Organization of the United Nations (FAO), in 2014 alone, 2.9 billion tonnes of the world's main cereals produced in increased yields were harvested: corn, rice, wheat, soybean and barley [1]. Thus, the need to