X. Perrier, J.J. Lacoeuilhe, E. Malézieux
Because the symptoms of many pineapple (Ananas comosus (L.) Merr.) disorders are similar, diagnosis of these disorders is difficult and requires special expertise. DIANA is a microcomputer-based expert system that provides help in the diagnosis of pineapple disorders. Pests, diseases, mineral deficiencies, and environmentally induced stresses (e.g. water, others) are taken into account. DIANA simulates the reasoning process of the human expert through a chain of rules. The diagnostic method is based on a three level logic: the field level (distribution of the symptoms in the field), the plant level, and the organ level (leaves, stems…). The system is easy to use and highly interactive. The user interacts with the system, preferably in the field, in order to describe the symptoms accurately. Likelihood coefficients are used by the system to draw a conclusion. An identification of the disorder is attempted by identifying the cultural practices and the environmental factors that could have induced the observed disorder. This system, still under development, will be an operational tool for diagnosis and a way of spreading expert knowledge and know-how. Suitable advice could be added for implementing crop management practices to complement the conclusions.
Perrier, X., Lacoeuilhe, J.J. and Malézieux, E. (1993). AN EXPERT SYSTEM FOR PINEAPPLE DISORDER DIAGNOSIS. Acta Hortic. 334, 197-204
DOI: 10.17660/ActaHortic.1993.334.20
Ananas comosus, disease, nutrient deficiency

Acta Horticulturae