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Oct 16, 2024 · Machine Learning is required for Forest Fire Prediction as it can handle numerous parameters that are responsible for a forest fire.
Abstract: Forest Fire Prediction is a key component of forest fire control. This is a major environmental problem that creates ecological destruction in the form of a threatened landscape of natural resources that disrupts the stability of the ecosystem, increases the risk for other natural hazards, and decreases resources such as water that ...
The machine learning techniques such as Decision tree, Random forest, Bagging, and Extra tree to solve the fire prediction problem. To prevent overfitting, separate data sets for training and evaluating the model along with cross-validation is performed.
Forest Fire Predictor. Machine Learning Project. Explore the Repo » View Flask app code · Model Building · EDA on Forest Fires dataset. About The Project. Using Data Science and Machine learning, we can build a model that takes in the detected fires dataset learns and detects future fires based on certain Weather report.
May 3, 2023 · This project presents a description and analysis of forest fire prediction methods based on machine learning and discusses about a comparative study of different models for predicting...
Mar 20, 2024 · In this study, GEE and six machine learning algorithms (Random Forest (RF), Support Vector Machine (SVM), Decision Tree (DT), Logistic Regression (LR), Artificial Neural Network (ANN), and Convolution Neural Network (CNN)) were used to construct and evaluate a forest fire susceptibility model for SC.
Feb 17, 2023 · Machine learning has been used in a range of applications, including forest fire prediction and detection. (Abid 2021 ; Arif et al. 2021 ; Ko et al. 2009 ; Kong et al. 2016 ; Bouguettaya et al. 2022 ; Friggens 2021 ) provides a wide-ranging overview of the use of machine learning techniques for forest fire detection.
Oct 14, 2022 · This study presents the forest fire-related challenges and prediction model using machine learning and deep learning techniques. Multiple research papers have been examined to understand their objectives, analyse the technique utilised, and identify any gaps in them.
Jan 7, 2022 · The proposed system for forest fire detection using wireless sensor networks and machine learning was found to be an effective method for fire detection in forests that provides more...
Thus, this paper indicates a deeper investigation in the field of predicting forest fire risk through machine learning. As a contribution, in this paper we have used SVM, KNN, Decision Tree, Naive Bayes classifier for prediction purposes.
