[PDF][PDF] Lettuce life stage classification from texture attributes using machine learning estimators and feature selection processes
SC Lauguico, RIIS Concepcion… - International Journal of …, 2020 - academia.edu
Smart aquaponics management is significant in providing efficient resource consumption.
For this to realize, cultivars' evaluation is a necessary step to identify the system's …
For this to realize, cultivars' evaluation is a necessary step to identify the system's …
[HTML][HTML] The Peruvian Amazon forestry dataset: A leaf image classification corpus
Forest census allows getting precise data for logging planning and elaboration of the forest
management plan. Species identification blunders carry inadequate forest management …
management plan. Species identification blunders carry inadequate forest management …
A novel edge detection method for medicinal plant's leaf features extraction
Morphological features-based leaf identification algorithms provide highly accurate results.
But it is required a single-lined edge extraction algorithm for morphological feature …
But it is required a single-lined edge extraction algorithm for morphological feature …
Unique shape descriptor algorithm for medicinal plant identification (SDAMPI) with abridged image database
In image processing, leaf shape recognition requires a huge database of similar images.
Normal leaf image database construction requires more time and space. On the other hand …
Normal leaf image database construction requires more time and space. On the other hand …
Advanced plant leaf classification through image enhancement and canny edge detection
JG Thanikkal, AK Dubey… - 2018 7th International …, 2018 - ieeexplore.ieee.org
Accuracy in identification of any plant is achieved by understanding and extracting the plant
features. Image processing techniques has gained interest in identifying the plants in realist …
features. Image processing techniques has gained interest in identifying the plants in realist …
A deep-feature based estimation algorithm (DFEA) for catastrophic forgetting
A deep learning network is super-efficient for image processing. The artificial brain of the
deep learning system is highly capable of solving the categorization of problems. However …
deep learning system is highly capable of solving the categorization of problems. However …
Deep-Morpho Algorithm (DMA) for medicinal leaves features extraction
Presently, for the identification and classification of images, various deep learning
techniques are being used. In these techniques, the whole image is considered to produce …
techniques are being used. In these techniques, the whole image is considered to produce …
Diversity bears fruit: Evaluating the economic potential of undervalued fruits for an agroecological restoration approach in the Peruvian Amazon
Agroforestry systems with a range of native and often neglected and underutilized tree
species (NUS) are increasingly recognized for their potential role in restoration …
species (NUS) are increasingly recognized for their potential role in restoration …
Importance of image morphological features in continues learning
JG Thanikkal, AK Dubey… - 2022 International Mobile …, 2022 - ieeexplore.ieee.org
A deep neural network is a fantastic and effective method for image processing. However,
the pixel values are based on continuous learning leading to forgetting the previous …
the pixel values are based on continuous learning leading to forgetting the previous …
Real-time leaf recognition method based on image segmentation and feature extraction
X Cai, Y Huo, Y Chen, M Xi, Y Tu, C Sun… - International journal of …, 2022 - World Scientific
Leaf recognition has been an important research field of image recognition in the recent
past. However, traditional leaf recognition methods can be easily affected by environments …
past. However, traditional leaf recognition methods can be easily affected by environments …