High-Performance Plant Pest and Disease Detection Based on Model Ensemble with Inception Module and Cluster Algorithm 2023, Plants Hybrid Model to Predict Leaf Disease Prediction Using Ensembling Machine Learning Approach 2023, 2023 World Conference on Communication and Computing, WCONF 2023 Mobile Computi...
Proposed Model 2023 Kaggle dataset + own dataset Yes CatBoost Accuracy: 97.5 %, F1 Score: 97.5 % 4.4.2. Fertilizer prediction After several iterations and fine-tuning, we successfully developed a fertilizer prediction model using the Random Forest algorithm combined with grid searchCV. The hyperpar...
The proposed research work offers an in-depth exploration of the convergence between deep learning methods and the prediction of crop rotation in the context of climate-resilient agriculture. The study uses a curated Kaggle dataset comprising approximately 2200 samples, encompassing an array of ...
automated plant disease detection;machine learning;data augmentation;unmanned aerial vehicles;generative adversarial networks 1. Introduction By 2050, human agricultural crop yield will need to increase by an estimated 70 percent to sustain the expected population size. Crop diseases currently reduce the yi...
A brief study on the prediction of crop disease using machine learning approaches. In Proceedings of the 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), Nagpur, India, 18–19 June 2021; pp. 1–6. [Google Scholar] Kumar, R.; Shukla, N.; Prince...
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where i represents the the disease category. Dataset1 involves 9 kinds of diseases, so the value range of i is 1 to 9. TP indicates that the prediction is a positive example and the actual is a positive example; FP indicates that the prediction is positive and the actual is negative; TN...
The descriptors selected for crop yield prediction were rainfall, maximum-average-minimum temperature, solar radiation, planting area, irrigation water depth and season duration [88]. Automatic disease detection with computer vision technology can treat the crop at the earliest, which consequently ...
Modern agriculture incorporated a portfolio of technologies to meet the current demand for agricultural food production, in terms of both quality and quantity. In this technology-driven farming era, this portfolio of technologies has aided farmers to ove