Browsing by Subject "Leaf"

Now showing 1 - 2 of 2
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    Open Access
    Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions
    (Elsevier, 2021-10-15) Sabzi, Sajad; Pourdarbani, Razieh; Rohban, Mohammad H.; García Mateos, Ginés; Arribas, J. I.; Informática y Sistemas; Facultades de la UMU::Facultad de Informática
    In recent years, farmers have often mistakenly resorted to overuse of chemical fertilizers to increase crop yield. However, excessive consumption of fertilizers might lead to severe food poisoning. If nutritional deficiencies are detected early, it can help farmers to design better fertigation practices before the problem becomes unsolvable. The aim of this study is to predict the amount of nitrogen (N) content in cucumber (Cucumis sativus L., var. Super Arshiya-F1) plant leaves using hyperspectral imaging (HSI) techniques and three different regression methods: a hybrid artificial neural networks-particle swarm optimization (ANN-PSO); partial least squares regression (PLSR); and unidimensional deep learning convolutional neural networks (CNN). Cucumber plant seeds were planted in 20 different pots. After growing the plants, pots were categorized and three levels of nitrogen overdose were applied to each category: 30%, 60% and 90% excesses, called N30%, N60%, N90%, respectively. HSI images of plant leaves were captured before and after the application of nitrogen excess. A prediction regression model was developed for each individual category. Results showed that mean regression coefficients (R) for ANN-PSO were inside 0.937–0.965, PLSR 0.975–0.997, and CNN 0.965–0.985 ranges, test set. We conclude that regression models have a remarkable ability to accurately predict the amount of nitrogen content in cucumber plants from hyperspectral leaf images in a non-destructive way, being PLSR slightly ahead of CNN and ANN-PSO methods.
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    Publication
    Open Access
    Morphoanatomical and histochemical study of Ipomoea hederifolia L. (Convolvulaceae)
    (Universidad de Murcia. Servicio de publicaciones, 2023) Vital dos Santos, Edinalva Alves; Nurit Silva, Kiriaki; Pereira de Arruda, Emília Cristina; Leite, Ana Virginia
    Ipomoea hederifolia L. is a herbaceous vine native to the tropical Americas with important medicinal properties. Was realized a pharmacobotanical study of the leaves and stems of this species, performing macroscopic and microscopic morphodiagnoses and histochemical tests. Anatomical characteristics typical of the family Convolvulaceae were found. However, the epidermis and its appendages (e.g. striated cuticle and peltate trichomes) and the anatomy of the petiole and the stem presented relevant characters for the taxonomic recognition of the species. Histochemical tests evidenced the presence of lignin and cutin and positive reactions for starch, phenolic compounds, and proteins. The anatomy and the histochemical tests indicated a set of characteristics relevant to the pharmacobotanical characterization of I. hederifolia, expanding our knowledge of the species and providing subsidies for the quality control of its vegetal products.