They have anticarcinogenic, cardioprotective and other health benefits 3. Tomatoes are a rich source of lycopene, beta-carotene, folate, potassium, vitamin C, flavonoids and vitamin E 2. The results demonstrated that hyperspectral imaging has the potential as a non-invasive method to identify early blight and late blight diseases on tomato leaves.Īccording to a previous research, tomato fruit ranks the first place among 40 fruits and vegetables in “relative contribution to human nutrition” 1 and is widely consumed due to its high nutrition value. Among the eight texture features, dissimilarity, second moment and entropy carried most of the effective information with the classification accuracy of 71.8%, 70.9% and 69.9% in the ELM models. Among the models which were established based on spectral information, all performed excellently with the overall classification accuracy ranging from 97.1% to 100% in testing sets. Then, eight texture features (mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment and correlation) based on gray level co-occurrence matrix (GLCM) at the five effective wavelengths were extracted to establish detection models. Based on the five selected wavelengths (442, 508, 573, 696 and 715 nm), an ELM model was re-established. Successive projections algorithm (SPA) was used to identify the most important wavelengths. An extreme learning machine (ELM) classifier model was established based on full wavelengths. One hundred and twenty healthy, one hundred and twenty early blight and seventy late blight diseased leaves were selected to obtain hyperspectral images covering spectral wavelengths from 380 to 1023 nm. This study investigated the potential of using hyperspectral imaging for detecting different diseases on tomato leaves.
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