Training manual on Data science in Agriculture
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
Title |
Training manual on Data science in Agriculture
Not Available |
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Creator |
Rajender Parsad
Alka Arora Chandan Deb Sapna Nigam Upendra Kumar Pradhan Mrinmoy Ray |
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Subject |
Data science
Agriculture |
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Description |
Not Available
Training Manual On Data science in Agriculture has following contents 1.Linear Regression, Multiple Linear Regression, Model Selection Criteria, Regularized Linear Modeling 2. An Overview of Multivariate Statistical Analysis Techniques 3. Linear and Integer programming: concept and its application in agriculture 4. Python 5. Data Handling and Visualization using NumPy, Pandas, Matplotlib and Seaborn 6. Support Vector Machine: A Non-Linear Machine Learning 7. Foundations of Neural Networks Basics and Artificial Neural Networks Concepts 8. Functions, Module, File Handling in Python 9. Deep Learning and Convolutional Neural Networks Architectures 10. Deep Learning using Python Software 11. AI-DISC (Artificial Intelligence Based Disease Identification for Crops): A case study in Data Science 12. Case study in Data Science (Machine Learning) 13. Case study in Data Science (Statistical modelling) 14. Hands on Image Classification using Convolutional Neural Networks Not Available |
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Date |
2024-01-11T12:50:10Z
2024-01-11T12:50:10Z 2023-10-10 |
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Type |
Training Manual
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Identifier |
Parsad, R., Arora, A., Deb, C.,Nigam, S.,Pradhan, U.,Ray, M.(2023). Training manual on Data science in Agriculture. ICAR-Indian Agricultural Statistics Research Institute (ICAR-IASRI),New Delhi, India
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/81241 |
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Language |
English
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Relation |
Not Available;
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Publisher |
ICAR-IASRI, New Delhi
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