Smart Agriculture
portes grátis
Smart Agriculture
Harnessing Machine Learning for Crop Management
Rathore, Yogesh Kumar; Chugh, Priya; Dhaygude, Amol Dattatray; Kumar Swarnkar, Suman
Taylor & Francis Ltd
12/2024
162
Dura
9781032832807
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Reviewing Detection of Plant Disease by making use of Machine Learning Mechanism. 2. Future Prospects and Challenges of Digital Transformation in Agriculture and Dairy Industries Mechanisms. 3. Innovative IoT-Driven Solutions for Real-Time Crop Health Surveillance and Precision Agriculture. 4. Optimizing Resource Allocation in Precision Agriculture through the Application of K-Means Clustering. 5. Upholding Ethical Standards in Modern Agriculture: An Examination of Privacy-Preserving Machine Learning Techniques. 6. Exploring the Effectiveness of Decision Trees for Comprehensive Detection of Crop Diseases in Agricultural Environments. 7. Integrating Deep Learning and Image Recognition in Smart Farming. 8. Exploring the Effectiveness of Decision Trees for Comprehensive Detection of Crop Diseases in Agricultural Environments. 9. Enhancing Crop Yield Prediction Accuracy through the Application of Gradient Descent Optimization Algorithms. 10. Machine Learning Models for Early Detection of Pest Infestation in Crops: A Comparative Study.
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Intelligent Systems;Artificial Intelligence;Blockchain;Renewable Energy Integration;Data-Driven Climate Control
1. Reviewing Detection of Plant Disease by making use of Machine Learning Mechanism. 2. Future Prospects and Challenges of Digital Transformation in Agriculture and Dairy Industries Mechanisms. 3. Innovative IoT-Driven Solutions for Real-Time Crop Health Surveillance and Precision Agriculture. 4. Optimizing Resource Allocation in Precision Agriculture through the Application of K-Means Clustering. 5. Upholding Ethical Standards in Modern Agriculture: An Examination of Privacy-Preserving Machine Learning Techniques. 6. Exploring the Effectiveness of Decision Trees for Comprehensive Detection of Crop Diseases in Agricultural Environments. 7. Integrating Deep Learning and Image Recognition in Smart Farming. 8. Exploring the Effectiveness of Decision Trees for Comprehensive Detection of Crop Diseases in Agricultural Environments. 9. Enhancing Crop Yield Prediction Accuracy through the Application of Gradient Descent Optimization Algorithms. 10. Machine Learning Models for Early Detection of Pest Infestation in Crops: A Comparative Study.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
