INFOPLANT: Plant Recognition using Convolutional Neural Networks
Baizel Kurian Varghese, Albin Augustine, Jubil Maria Babu, Deepa Sunny, Sijo Cherian
Abstract
The identification of a large number of trees around us is a complex task. The people who study plants can easily identify the plants based on the features of the leaf. Machine learning techniques are used to group leaf types automatically. But the deep learning techniques bring a lot of research improvements that make this classification more practical. Here we propose a system to identify the plants using the CNN model, which involves image processing. A perfect insight on plants is necessary to enable recognizing the novel or the species that are uncommon. The variations on leaf characteristics help to conduct a comparative study on plants.
Topics & Concepts
Convolutional neural networkComputer scienceArtificial intelligenceTask (project management)Identification (biology)Deep learningPlant identificationMachine learningContextual image classificationFeature extractionPattern recognition (psychology)Artificial neural networkImage (mathematics)EngineeringBotanyBiologySystems engineeringSmart Agriculture and AILeaf Properties and Growth MeasurementSpectroscopy and Chemometric Analyses