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Book Title: Statistical Techniques for Agriculturists

Authors: Professor J Ramkumar and Dr Amandeep Singh

Book Description: For bringing inclusive improvement in the functioning of Agricultural Systems across the world, the training and teaching of the discipline of Agricultural Statistics are now of paramount importance. Understanding the recent statistical applications for data collection, small descriptive and predictive analysis on estimating yield and productivity is the need of the hour. The teaching and training aspects associated with these components are essential and a significant role is played by various institutes, both in research as well as teaching and training in the field of Agricultural Statistics and Computer Application. This course is designed for agriculturists to learn to establish their own statistical inferences and comprehend the graphical user interface of the recent Android/iOS/Windows applications designed for the purpose.

Licence:
Creative Commons Attribution ShareAlike

Contents

Book Information

Book Description

For bringing inclusive improvement in the functioning of Agricultural Systems across the world, the training and teaching of the discipline of Agricultural Statistics are now of paramount importance. Understanding the recent statistical applications for data collection, small descriptive and predictive analysis on estimating yield and productivity is the need of the hour. The teaching and training aspects associated with these components are essential and a significant role is played by various institutes, both in research as well as teaching and training in the field of Agricultural Statistics and Computer Application.

This course is designed for agriculturists to learn to establish their own statistical inferences and comprehend the graphical user interface of the recent Android/iOS/Windows applications designed for the purpose. The candidates increase their productivity, efficiency, and competitiveness, facilitate access to markets, improve nutritional outcomes and enhance resilience to climate change. These technologies range from mobile apps to digital identities for farmers to solar applications for agriculture to portable agriculture devices.

The candidates taking this course would explore the Agriculture Industry using key insights to gain a richer and deeper understanding of the Agriculture Industry and gain a solid understanding of core concepts of statistics and data in agriculture, with a focus on used cases and potential impact. The farmers learning the concepts in this course are expected to have a closer acquaintance with digital tools helping them to enhance on-farm productivity.

Authors

Professor J Ramkumar and Dr Amandeep Singh

Licence

Icon for the Creative Commons Attribution-ShareAlike 4.0 International License

Statistical Techniques for Agriculturists Copyright © by Commonwealth of Learning (COL) is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.

Subject

Agricultural science

Metadata

Title
Statistical Techniques for Agriculturists
Authors
Professor J Ramkumar and Dr Amandeep Singh
Licence

Icon for the Creative Commons Attribution-ShareAlike 4.0 International License

Statistical Techniques for Agriculturists Copyright © by Commonwealth of Learning (COL) is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License, except where otherwise noted.

Primary Subject
Agricultural science
Additional Subject(s)
Probability and statistics, Technology, Engineering, Agriculture, Industrial processes, Agriculture and farming
Publisher
Commonwealth of Learning (COL)