Select | Format | USD( ) |
---|---|---|
Print Book | 102.00 |
This
book provides ample scope regarding different types of numerical mostly used in
agricultural study. Use of numerical plays an important role in the study of
different parameters in agricultural research. Agricultural experiments are
associated with lot of variations in the field because of different factors.
The degree of variation need to be evaluated with the help of various indices
which can be calculated from the observation recorded from the field
experiment. Detailed numerical calculation related to different soil and plant
parameters is helpful in order to calculate different indices related to
agricultural experiment. This book comprises of twenty five chapters related
with various indices that are most commonly used in crop management studies covering
different concepts along with suitable examples. Unique feature of this book is
to provide number of outcome assessments along with answers at the end of each
chapter. This book is a compilation of various numerical examples along with
their solutions pertaining to agriculture for which it will be useful to
students, teachers and researchers working in this relevant field. I hope this
book will act as a ready reckoner for the agricultural students for their
courses and competitive exams.
Overview of Agri Inputs
Statistical Support for Agri Input
Seeds for Rejuvenating Agriculture Cooperatives
Exploring and Designing Market Strategies for Fertilizers with special reference to Neem Coated Urea
Status of Farm Machinery Industry in India
Trends 0fAgr0chemicals in India
Farmers Perspective on Emerging Trends of Biostimulants
Soil for Sustaining Agriculture
Irrigation for Vulnerable Agriculture Droughts
Adoption of Organic Farming as Climate Smart Agriculture
Deploying the BRT Framework
Concept and Scope of Agricultural Credit in the Era of Agribusiness
Advances in Agriculture Policy, Governance and Multifunctionality Approach for Sustainable India
Agri Input Marketing Models and Market Perspective
Crops and Agri Inputs
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