Review of Leaf Classification Techniques using Machine Learning
نویسندگان
چکیده
منابع مشابه
Comparison of Machine Learning Algorithms for Broad Leaf Species Classification Using UAV-RGB Images
Abstract: Knowing the tree species combination of forests provides valuable information for studying the forest’s economic value, fire risk assessment, biodiversity monitoring, and wildlife habitat improvement. Fieldwork is often time-consuming and labor-required, free satellite data are available in coarse resolution and the use of manned aircraft is relatively costly. Recently, unmanned aeria...
متن کاملText Classification Using Machine Learning Techniques
Automated text classification has been considered as a vital method to manage and process a vast amount of documents in digital forms that are widespread and continuously increasing. In general, text classification plays an important role in information extraction and summarization, text retrieval, and questionanswering. This paper illustrates the text classification process using machine learn...
متن کاملMusic Genre Classification Using Machine Learning Techniques
Music is categorized into subjective categories called genres. Humans have been the primary tool in attributing genre-tags to songs. Using a machine to automate this classification process is a more complex task. Machine learning excels at deciphering patterns from complex data. We aimed to apply machine learning to the task of music genre tagging using eight summary features about each song, a...
متن کاملMusic Genre Classification using Machine Learning Techniques
Categorizing music files according to their genre is a challenging task in the area of music information retrieval (MIR). In this study, we compare the performance of two classes of models. The first is a deep learning approach wherein a CNN model is trained end-to-end, to predict the genre label of an audio signal, solely using its spectrogram. The second approach utilizes hand-crafted feature...
متن کاملSupervised Machine Learning: A Review of Classification Techniques
Supervised machine learning is the search for algorithms that reason from externally supplied instances to produce general hypotheses, which then make predictions about future instances. In other words, the goal of supervised learning is to build a concise model of the distribution of class labels in terms of predictor features. The resulting classifier is then used to assign class labels to th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2018
ISSN: 2321-9653
DOI: 10.22214/ijraset.2018.5443