[HTML][HTML] Computer vision based food grain classification: A comprehensive survey
This manuscript presents a comprehensive survey on recent computer vision based food
grain classification techniques. It includes state-of-the-art approaches intended for different …
grain classification techniques. It includes state-of-the-art approaches intended for different …
On the frontiers of rice grain analysis, classification and quality grading: A review
Rice is a high valued subsistence crop that feeds more than 3.5 billion of the world
population. Its importance can be gauged from the fact that the top five rice exporting …
population. Its importance can be gauged from the fact that the top five rice exporting …
RiceNet: convolutional neural networks-based model to classify Pakistani grown rice seed types
Among other grain-based foods, rice is an important and favorite food of Pakistan. Its
demand has increased significantly in the recent era. The type of rice grains is very …
demand has increased significantly in the recent era. The type of rice grains is very …
[PDF][PDF] Artificial intelligence in agriculture
Patricia L. Suárez a,⁎, Henry O. Velesaca a, Dario Carpio a, Angel D. Sappa a, ba ESPOL
Polytechnic University, CIDIS, Campus Gustavo Galindo, Guayaquil 09-01-5863, Ecuador b …
Polytechnic University, CIDIS, Campus Gustavo Galindo, Guayaquil 09-01-5863, Ecuador b …
A novel method combining deep learning with the Kennard–Stone algorithm for training dataset selection for image‐based rice seed variety identification
C Jin, X Zhou, M He, C Li, Z Cai, L Zhou… - Journal of the …, 2024 - Wiley Online Library
BACKGROUND Different varieties of rice vary in planting time, stress resistance, and other
characteristics. With advances in rice‐breeding technology, the number of rice varieties has …
characteristics. With advances in rice‐breeding technology, the number of rice varieties has …
[HTML][HTML] Corn kernel classification from few training samples
This article presents an efficient approach to classify a set of corn kernels in contact, which
may contain good, or defective kernels along with impurities. The proposed approach …
may contain good, or defective kernels along with impurities. The proposed approach …
Automatic detection of cervical cells using dense-cascade R-CNN
L Yi, Y Lei, Z Fan, Y Zhou, D Chen, R Liu - … 18, 2020, Proceedings, Part II 3, 2020 - Springer
It is necessary to realize the automatic detection of cervical cells in Pap Smears. We present
an automatic cervical cell detection approach based on the so-called Dense-Cascade R …
an automatic cervical cell detection approach based on the so-called Dense-Cascade R …
Rice classification and quality detection success with artificial intelligence technologies
Rice is the most consumed and the most traded food in the world, and so it is very important
for it to be classified correctly by its qualities. In this study, the success situation in the …
for it to be classified correctly by its qualities. In this study, the success situation in the …
[HTML][HTML] A methodical analysis of deep learning techniques for detecting Indian lentils
Automatic identification of Indian lentils requires the selection of a suitable classification
model among various CNN models. The CNN models are the most effective for image …
model among various CNN models. The CNN models are the most effective for image …
Enhanced individual characteristics normalized lightweight rice-VGG16 method for rice seed defect recognition
J Sun, Y Zhang, X Zhu, YD Zhang - Multimedia Tools and Applications, 2023 - Springer
The current rice seed defect recognition methods have several disadvantages, including the
background segmentation of images, complex operation, and non-normalization processing …
background segmentation of images, complex operation, and non-normalization processing …