Malformation disease of mango (mangifera indica l.) Detection and notification method
Keywords:
Malformation disease, Mango, Detection, Notification, Visual inspection, Molecular techniques, Remote sensing, Smartphone applications, Artificial intelligence, Internet of Things.Abstract
Malformation disease, caused by the fungus Fusarium mangiferae, poses a significant threat to mango (Mangifera indica L.) production worldwide. Early detection and timely notification of this disease are crucial for implementing effective management strategies and minimizing yield losses. This paper provides a comprehensive review of the current methods employed for the detection and notification of malformation disease in mango trees. Various approaches, including visual inspection, symptomatology, molecular techniques, remote sensing, and smartphone-based applications, are evaluated for their efficacy, advantages, and limitations. Additionally, the potential of emerging technologies such as artificial intelligence and Internet of Things (IoT) for enhancing disease detection and notification systems is discussed.
