Machine Learning and Artificial Intelligence for Agricultural Economics

Machine Learning and Artificial Intelligence for Agricultural Economics

Prognostic Data Analytics to Serve Small Scale Farmers Worldwide

Vuppalapati, Chandrasekar

Springer Nature Switzerland AG

10/2021

599

Dura

Inglês

9783030774844

15 a 20 dias

1087

Descrição não disponível.
1. Introduction.- 2. Data Engineering and Exploratory Data Analysis Techniques.- 3. Agricultural Economy and ML Models.- 4. Commodity Markets - Machine Learning Techniques.- 5. Weather Patterns and Machine Learning.- 6. Agriculture Employment and the Role of AI in improving Productivity.- 7. Role of Government and the AI Readiness.- 8. Future.
Agricultural Economics;Prognostics;Predictive Farm models;World Development Indicators;Mathematical Optimization for agriculture;Dairy Farming and Precision Sensors;Econometrics for agriculture;Regression Modelling;Advanced Data Analytics