过去一年中添加的文章，按日期排序
AETC: an automated pest detection and classification model using optimal integration of Yolo+ SSD and adaptive ensemble transfer CNN with IoT-assisted pest …
B Prasath, M Akila - Knowledge and Information Systems, 2024 - Springer
21 天前 - … IoT-assisted Automatic Pest Prediction and Classification (… of a hybrid tuning protocol
is generated in this work. … and classified a number of crop pests. By connecting the feature …
is generated in this work. … and classified a number of crop pests. By connecting the feature …
An optimal feature selection-based deep learning approach for wheat disease identification
SM Raja, AS Nargunam - Multimedia Tools and Applications, 2024 - Springer
23 天前 - … Neural Network (RBFNN) for the prediction of disease wheat … classifiers to detect
the crop diseases by processing the … , a hybrid framework was proposed in this article to predict …
the crop diseases by processing the … , a hybrid framework was proposed in this article to predict …
A Hybrid CNN–SVM Model for Early Detection and Classification of Sweet Potato Leaf Diseases
D Banerjee, R Rajora, M Garg - Latest Trends in Engineering …, 2024 - taylorfrancis.com
29 天前 - … This method combines convolutional neural networks (… to forecast the likelihood
for each of the four disease classes. … and crop experts to prevent and control these diseases …
for each of the four disease classes. … and crop experts to prevent and control these diseases …
[HTML][HTML] A hybrid approach for rice crop disease detection in agricultural IoT system
Y Wang, US Rajkumar Dhamodharan, N Sarwar… - Discover …, 2024 - Springer
36 天前 - … Prediction of plant diseases at the earliest stage may … convolutional neural
networks. This technical paper proposes a novel method for crop disease detection on a rice crop …
networks. This technical paper proposes a novel method for crop disease detection on a rice crop …
[PDF][PDF] ENHANCING CROP RESILIENCE: A HYBRID MODEL OF VGG16, INCEPTION AND XCEPTION FOR PLANT DISEASE PREDICTION
RS Kartha - mattioli1885journal.com
37 天前 - … can automatically detect and categorize plant diseases through the utilization of
image processing methods. In this study, a hybrid convolution neural network (CNN) model is …
image processing methods. In this study, a hybrid convolution neural network (CNN) model is …
[图书][B] Advancement of Intelligent Computational Methods and Technologies
42 天前 - … of disorders, including cancer and cardiovascular disease… for forecasting diabetic
mellitus (DM) type 2 disease. They … (SML) methods through neural network (NN) based tactics …
mellitus (DM) type 2 disease. They … (SML) methods through neural network (NN) based tactics …
[图书][B] International Conference on Security, Surveillance and Artificial Intelligence (ICSSAI-2023): Proceedings of the International Conference on Security …
D Chaudhuri, JH Pretorius, D Das, S Bal - 2024 - books.google.com
42 天前 - … Moreover, one of the most exciting features of AI in security surveillance is its potential
to predict and prevent incidents before they occur. Recently, a French start-up developed …
to predict and prevent incidents before they occur. Recently, a French start-up developed …
An Interpretable Deep Learning for Early Detection and Diagnosis of Wheat Leaf Diseases
50 天前 - … -DNN-Net) is a hybrid between MobileNet and Deep … of diseases by utilizing the
Wheat Plant Diseases dataset, … deep convolutional neural networks applied for prediction of …
Wheat Plant Diseases dataset, … deep convolutional neural networks applied for prediction of …
Towards Automated Detection of Tomato Leaf Diseases
58 天前 - … for classifying tomato leaf diseases by utilizing a hybrid transfer learning model. …
disease prediction utilizing the XSVC model. Our research enhances the field of plant disease …
disease prediction utilizing the XSVC model. Our research enhances the field of plant disease …