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Predicting Crop Phenology focuses on an analysis of the issues faced in predicting the phenology of crop plants and weeds. It discusses how these issues have been handled by active crop growth simulation model developers and emphasizes areas such as the role of modeling in agricultural research and the roles of temperature, length of day, and water stress in plant growth. This comprehensive text also discusses modeling philosophy and programming techniques in modeling crop development and growth. It presents uptodate information on phenology models for wheat, maize, sorghum, rice, cotton, and several weed species. Predicting Crop Phenology reviews important data for agricultural engineers, plant physiologists, agricultural consultants, researchers, extension agents, model developers, agricultural science instructors and students.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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