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Detection of Plant Disease and Pests using Coherent Deep Learning Algorithms
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The Implementation of Pretrained VGG16 Model for Rice Leaf Disease Classification using Image Segmentation
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Pre-trained deep neural network-based features selection supported machine learning for rice leaf disease classification
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Agriculture,
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Cooperative DNN partitioning for accelerating DNN-empowered disease diagnosis via swarm reinforcement learning
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Applied Soft Computing,
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Towards sustainable agriculture: A lightweight hybrid model and cloud-based collection of datasets for efficient leaf disease detection
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Future Generation Computer Systems,
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Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
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Frontiers in Plant Science,
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Real-time identification of cyanobacteria blooms in lakeshore zone using camera and semantic segmentation: A case study of Lake Chaohu (eastern China)
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Sustainability,
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Transfer learning for rice leaf disease detection
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2023 Third International Conference …,
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Classification of rice leaf diseases using cnn-based pre-trained models and transfer learning
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2023 6th International …,
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Real-Time Identification of Cyanobacteria Blooms in Lakeshore Zone Using Camera and Semantic Segmentation: A Case Study of Lake Chaohu (Eastern …
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Sustainability,
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Implementasi Model Pretrained VGG16 untuk Klasifikasi Penyakit Daun Padi menggunakan Image Segmentation
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Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks
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Leaf Disease Identification in Rice Plants Using CNN Model
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Congress on Intelligent Systems: Proceedings of …,
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Image-based disease detection and classification in Indian apple plant species by using deep learning
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Applied Research and Smart …,
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Enhanced hybrid neural networks (CoAtNet) for paddy crops disease detection and classification
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Rice-fusion: a multimodality data fusion framework for rice disease diagnosis
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IEEE Access,
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Detection and characterization of stressed sweet cherry tissues using machine learning
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Drones,
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Deep Learning in Agriculture: A Review
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Intelligent collection of rice disease images based on convolutional neural network and feature matching
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Detection of Rice Plant Disease Using Deep Learning Techniques
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Generative Adversarial Network-based Augmented Rice Leaf Disease Detection using Deep Learning
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Rice Disease Identification Using Deep Learning Models
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Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics
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An Ensemble Methods based Machine Learning Approach for Rice Plant disease diagnosing
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Amalgamation of Rice Plant Disease Classification and Detection with KNN and Butterfly Algorithm
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Rice Plant Disease Detection Using Sensing Recognition Strategy Based on Artificial Intelligence
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Camera Radial Distance-Based Accuracy of a Bacterial Blight Brown Spot and Rice Blast Plant Disease Identification System for Remote Communications
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Nhận dạng bệnh trên lá lúa bằng phương pháp học chuyển giao= Rice leaf disease detection using transfer learning
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2022 |
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DETECTION OF MAJOR RICE AND POTATO DISEASES USING TENSORFLOW AND MACHINE LEARNING
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Rice Leaf Disease Recognition using Gray-Level Co-Occurrence Matrix and Statistical Features
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2021 5th International Conference on …,
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Rice leaf Disease Recognition based on deep learning using Zippier S-Method
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Intensification of Agriculture using Deep Learning and Machine Learning: A Survey
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Image Processing Based Detection of Diseases and Nutrient Deficiencies in Plants
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SATSA Mukhapatra,
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Turkish Online Journal of Qualitative Inquiry,
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A Comprehensive Dataset for Accurate Identification of Medicinal Plant Leaves
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