Research on the Optimal Management Simulation System for Rice Production

Author: Yan Lijiao
Publisher:
Publish Date: 2003-05-01
Features: The prevention of agricultural non-point source pollution and the sustainable utilization of water resources are one of the major ecological and environmental issues facing China in its national economic construction, urgently requiring resolution. At the same time, they are also research hotspots in the fields of ecology, environment, and agriculture this century, as well as a global challenge. This book systematically elaborates on the meaning and principles of crop growth simulation models, their development history and achievements. It also outlines the research progress of rice growth simulation models from seven aspects: simulation of growth periods and organ formation, simulation of rice dry matter production, estimation of rice production potential, simulation and optimization of rice canopy quality indicators, the impact of climate change on rice growth, and optimized nitrogen fertilizer management. This book uses simulation models to optimize rice production, which is an important aspect of the application of information agriculture and precision agriculture technologies in crop production. The research results hold significant theoretical and practical value for advancing the application of precision agriculture technology in China, achieving high-yield, high-efficiency, high-quality, low-consumption rice production, and reducing the environmental pollution caused by chemical fertilizers. The book is rich in content, well-documented, illustrated with figures and tables, and written in a fluent style, combining both scientific rigor and practicality. For the convenience of readers and reference, the book also includes, in the appendix, the computer language programs of the main models and the meanings of English abbreviations. This book is suitable for scientific and technical personnel in the fields of ecology, environment, resources, and agriculture, as well as decision-makers and management personnel. It is also recommended for students and faculty in agricultural and biological disciplines at universities. Additionally, it is suitable for individuals from various backgrounds who are interested in crop cultivation, ecology, environmental science, simulation models, biomathematics, and agricultural production management.