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- W4385845103 abstract "Deep learning with image processing provides better results. Image processing are used for spike disease detection, oil extraction, age detection, and so on by using CNN and image processing techniques such as preprocessing the image, extracting the feature are used to detect spike disease. Spike disease detection, oil extraction, and age detection have a huge scope in agricultural domains. Visually observing the rings in tree bark is tedious job henceforth, counting the concentric rings in tree barks to estimation the age of a tree is done using deep learning and image processing. Just by considering the tree log size we cannot predict the amount of oil extraction, so we use CNN technique to predict approximate amount of oil extracted (Muzamal et al. in Crowd counting with respect to age and gender by using faster R-CNN based detection. IEEE [1]). This paper provides an overview of different techniques that are used for spike disease detection, age detection, and Oil extraction of sandalwood tree." @default.
- W4385845103 created "2023-08-16" @default.
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- W4385845103 date "2023-01-01" @default.
- W4385845103 modified "2023-09-27" @default.
- W4385845103 title "Sandalwood Tree Deduction Using Deep Learning" @default.
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- W4385845103 doi "https://doi.org/10.1007/978-981-99-2058-7_31" @default.
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