Beschreibung
Now the focus of agricultural production is changing from quantity towards quality and sustainability. Solution of these new challenges requires thorough understanding of how numerous components interact to affect plant growth. Computer programme that simulate the crop growth or yield of crops under different management regimes help farmers to make technical decision to manage their crops better. Simulation models which help in predicting the yield of a crop is therefore the need of the day. Improved quantitative models for forecasting regional productivity with the various factors will be crucial for evaluating trade offs associated with potential changes. In this book, rice models have been evaluated to suggest farmers' for best management practices, forecasting yields, pest and disease incidences, suitable varieties and best sowing dates for optimum crop production with variable climatic conditions. Influence of soil, water and climatic variables on rice productivity can be effectively estimated through different rice models. Hence, the book may be more helpful for policy makers in planning and advising the farmers to optimize farm operations and marketing of correspondence.
Autorenporträt
Dr. Arvind Kumar has been working as a Project Scientist in the Department of Agrometeorology at N.D. University of Agriculture & Technology, U P, India. He is the recipient of Vice-Chancellor's Gold Medal & All India Best Thesis Award. Research achievements carried out by him have been published in various National & International repute journals.
