Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants
An artificial vision system to evaluate nitrogen deficiency in maize plants is presented. The system uses images of maize leaves at different stages of crop development. Even in early development stages, the leaves can be analyzed. The results demonstrate that the proposed system isable to diagnose nitrogen levels in maize leaves.
zea mays nutritional diagnosis macronutrient computational vision