Due to its ability to perceive the problems, developing the appropriate reasons for that and to establish optimal solutions for it, artificial intelligence can act as a great aid in addressing the diseases of crops. Throughout this paper, we used the ResNet9 architecture, which is a neural ...
In the following research, transfer learning models VGG16, ResNet50, and Xception are applied to attempt overcoming this challenge of multiclass plant disease detection. To improve classification accuracy, we propose an ensemble model that combines the strengths of these pre-trained networks. ...
python flask resnet html-css-javascript plant-disease-detection plant-disease-prediction Updated Oct 27, 2023 Jupyter Notebook lostmartian / crop-recommendation-and-plant-disease-detection Star 23 Code Issues Pull requests Saathi - Crop recommendation using ML and plant disease identification using...
The method has been tested using pre-trained backbones and proposed CNN, and attained 98.0% accuracy and 99.0% F1-score39. A modified transfer learning (TL) method using three pre-trained CNN has been tested for potato leaf disease detection and the DensNet169 has achieved 99.0% accuracy40....
Cucumber diseases diagnosis using multispectral imaging technique. Spectrosc Spect Anal. 2009;29(2):467–70. MathSciNet Google Scholar Ferentinos KP. Deep learning models for plant disease detection and diagnosis. Comput Electron Agric. 2018;145:311–8. Google Scholar Fuentes A, Yoon S, Kim...
在本文中,我们解决了这个问题。实验结果证明Resnet50是用于特征提取的最佳 模型。在迁移学习时,VGG16是最佳选择。此外,与KNN相比,SVM被证明是最佳 分类器。 关键词:植物病害检测,特征提取,迁移学习,SVM,KNN PlantDiseaseDetectionwithDeepLearningand Feature Extraction using PlantVillage. ...
Palm tree disease detection and classification using residual network and transfer learning of inception ResNet In this work, two approaches of deep learning have been proposed for Palm leaf disease classification: Residual Network (ResNet) and transfer learning of ... M Ahmed,A Ahmed - 《Plos ...
The work is developed using MATLAB ... Jasdeep Kaur,S Singla 被引量: 0发表: 2016年 Application of machine learning in detection of blast disease in South Indian rice crops It is a well-known fact that the quality and quantity of the rice crop is reduced due to plant disease. This ...
Janarthan S, Thuseethan S, Rajasegarar S, Yearwood J (2022) P2op-plant pathology on palms: A deep learning-based mobile solution for in-field plant disease detection. Comput Electron Agric 202:107371 Article Google Scholar Zhao Y, Sun C, Xu X, Chen J (2022) Ric-net: A plant diseas...
Fast R-CCN was used for disease detection and Mask R-CNN for segmenting the affected diseased area. The study also used different annotation mechanisms with object detection. Labeling was used with Fast R-CNN and LabelMe with Mask R-CNN. ResNet101 had the best detection rate but required ...