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Best image resizer online
Best image resizer online










best image resizer online
  1. #Best image resizer online zip file
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Accurate and precise detection of weeds is important to successfully deploy the weed management system ( Hasan et al., 2021). An effective way to manage the weed is to use herbicide spray specifically in the field that contains the weeds. Among various agricultural problems, weeds are a serious threat to crop yield that causes economic loss ( Ahmad et al., 2021). Therefore, various challenges in the agricultural sector have been addressed by the research community to get smart and intelligent solutions. With the fast-growing global population, food demand is expected to increase up to 70% by 2050 ( Caldera and Breyer, 2019). Therefore, this research would be a considerable step toward an efficient and automatic weed control system. Furthermore, the selection of the DeepWeeds dataset shows the robustness/practicality of the study because it contains images collected in a real/complex agricultural environment. All the relevant data including the annotated dataset, configuration files, and inference graph of the final model are provided with this article. The presented pipeline would be a baseline study for the research community to explore several tasks such as real-time detection and reducing the computation/training time. It was 5.8% improved as compared to the results obtained by the default settings of the best-suited DL architecture (Faster RCNN ResNet-101). The effectiveness of the proposed work is proven due to a high mAP of 93.44% and validated by the stratified k-fold cross-validation technique. It led to the final stage of the research through optimization of the weights of the best-acquired model by initialization techniques, batch normalization, and DL optimization algorithms. Next, the effects of image resizing techniques along with four image interpolation methods have been studied. First, a comprehensive analysis of single-stage and two-stage neural networks including Single-shot MultiBox Detector (SSD), You look only Once (YOLO-v4), EfficientDet, CenterNet, RetinaNet, Faster Region-based Convolutional Neural Network (RCNN), and Region-based Fully Convolutional Network (RFCN), has been performed. In contrast, this research attempted to improve the mean average precision (mAP) for the detection and classification of eight classes of weeds by proposing a novel DL-based methodology. The previous studies emphasized the evaluation of advanced training techniques or modifying the well-known DL models to improve the overall accuracy. In recent years, deep learning (DL) has got rapid advancements to perform complex agricultural tasks. The accurate identification of weeds is an essential step for a site-specific weed management system. 2Massey AgriFood Digital Lab, Massey University, Palmerston North, New Zealand.1Department of Mechanical and Electrical Engineering, School of Food and Advanced Technology, Massey University, Auckland, New Zealand.

#Best image resizer online download

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    Best image resizer online