Imagen de portada de Amazon
Imagen de Amazon.com
Vista normal Vista MARC

Predicting crop phenology editor: Tom Hodges

Tipo de material: Libro
 impreso(a) 
 Libro impreso(a) Idioma: Inglés Detalles de publicación: Boca Raton, Florida CRC Press 1991Descripción: 233 páginasISBN:
  • 084936745X
  • 9780849367458
Tema(s) en español: Clasificación:
  • 633.00113 P7
Resumen:
Inglés

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 up-to-date 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.

Número de sistema: 11079
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Valoración
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura topográfica Estado Código de barras
Libros Biblioteca San Cristóbal Acervo General (AG) Acervo General 633.00113 P7 Disponible SAA006753

Incluye bibliografía e índice

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 up-to-date 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. Inglés