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[HTML][HTML] Comparison of CNN-based deep learning architectures for rice diseases classification
MT Ahad, Y Li, B Song, T Bhuiyan - Artificial Intelligence in Agriculture, 2023 - Elsevier
Although convolutional neural network (CNN) paradigms have expanded to transfer
learning and ensemble models from original individual CNN architectures, few studies have …
learning and ensemble models from original individual CNN architectures, few studies have …
A review of the current publication trends on missing data imputation over three decades: direction and future research
FA Adnan, KR Jamaludin, WZA Wan Muhamad… - Neural Computing and …, 2022 - Springer
Studies on missing data have increased in the past few decades. It is an uncontrollable
phenomenon and could occur during the data collection in practically any research field …
phenomenon and could occur during the data collection in practically any research field …
Orchid types classification using supervised learning algorithm based on feature and color extraction
PN Andono, EH Rachmawanto, NS Herman… - Bulletin of Electrical …, 2021 - mail.beei.org
Orchid flower as ornamental plants with a variety of types where one type of orchid has
various characteristics in the form of different shapes and colors. Here, we chosen support …
various characteristics in the form of different shapes and colors. Here, we chosen support …
Determining the rice seeds quality using convolutional neural network
SS Hidayat, D Rahmawati, MCA Prabowo… - … : International Journal on …, 2023 - joiv.org
Seed inspection is crucial for plant nurseries and farmers as it ensures seed quality when
growing seedlings. It is traditionally accomplished by expert inspectors filtering samples …
growing seedlings. It is traditionally accomplished by expert inspectors filtering samples …
Optimasi ekstraksi fitur pada knn dalam klasifikasi penyakit daun jagung
EH Rachmawanto, HP Hadi - Dinamik, 2021 - unisbank.ac.id
Di Indonesia jagung sering digunakan sebagai komoditas utama makanan pokok selain
nasi. Tanaman jagung memiliki potensi terkena penyakit ataupun serangan hama kapan …
nasi. Tanaman jagung memiliki potensi terkena penyakit ataupun serangan hama kapan …
Unmanned aerial vehicles assisted rice seedling detection using shark smell optimization with deep learning model
Y Asiri - Physical Communication, 2023 - Elsevier
Rice seedling classification using an unmanned aerial vehicle (UAV) images remains a
challenging problem that needs to be addressed. It is still a difficult task because it is prone …
challenging problem that needs to be addressed. It is still a difficult task because it is prone …
Klasifikasi Bunga Mawar Menggunakan KNN dan Ekstraksi Fitur GLCM dan HSV
Bunga mawar biasanya di produksi sebagai bahan kecantikan maupun parfum. Bunga
mawar dapat dibudidayakan untuk bunga potong dan bunga hias. Peneltian ini bertujuan …
mawar dapat dibudidayakan untuk bunga potong dan bunga hias. Peneltian ini bertujuan …
Paddy seed variety identification using t20-hog and haralick textural features
M Uddin, MA Islam, M Shajalal, MA Hossain… - Complex & Intelligent …, 2022 - Springer
The seed is an inevitable element for agricultural and industrial production. The non-
destructive paddy seed variety identification is essential to assure paddy purity and quality …
destructive paddy seed variety identification is essential to assure paddy purity and quality …
Germinative paddy seed identification using deep convolutional neural network
MA Islam, MR Hassan, M Uddin, M Shajalal - Multimedia Tools and …, 2023 - Springer
Paddy has been the staple food of millions of people and due to its rising demand, it is
imperative to increase paddy crop yield within the limited availability of land. Paddy yield …
imperative to increase paddy crop yield within the limited availability of land. Paddy yield …
Enhancing Paddy Leaf Disease Recognition and Diagnosis with Convolutional Neural Networks and Ensemble Transfer Learning
K Rajchandar, G Abhilash, D Mukesh… - 2024 3rd …, 2024 - ieeexplore.ieee.org
Early detection of crop diseases is an opportunity to optimize agricultural care and ultimately
increase crop yields. Researchers studying machine learning are becoming increasingly …
increase crop yields. Researchers studying machine learning are becoming increasingly …