It contains images of an entire growing season of pear tree, in order to build a representative sample which, cover the main cultural aspects of this plant. The dataset is suitable to perform machine and deep learning methods in classification and detection tasks. A total of 3505 images were collected, including 499 fruit images and 3006 leaves images, respectively. The fruit is portrayed in the following 4 phases: fruit set, nut fruit, fruit growth, ripening. Similarly, biotic and abiotic stresses fall into 4 categories: leaf spot, leaf curl, slug damage, and healthy leaf.

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