Catálogo de publicaciones - revistas
Computers and Electronics in Agriculture
Resumen/Descripción – provisto por la editorial en inglés
Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software and electronic instrumentation and control systems for solving problems in agriculture and related industries. These include agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, animal/livestock science, veterinary medicine, and food processing.The journal publishes original papers, reviews, applications notes and book reviews on topics including computerized decision-support aids (e.g., expert systems and simulation models) pertaining to any aspect of the aforementioned industries; electronic monitoring or control of any aspect of livestock/crop production (e.g. soil and water, environment, growth, health, waste products) and post-harvest operations (such as drying, storage, production assessment, trimming and dissection of plant and animal material). Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics and simulation modelling.
Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Período | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | desde oct. 1985 / hasta dic. 2023 | ScienceDirect |
Información
Tipo de recurso:
revistas
ISSN impreso
0168-1699
ISSN electrónico
1872-7107
Editor responsable
Elsevier
País de edición
Países Bajos
Fecha de publicación
1985-
Cobertura temática
Tabla de contenidos
Verification of color vegetation indices for automated crop imaging applications
George E. Meyer; João Camargo Neto
Palabras clave: Horticulture; Computer Science Applications; Agronomy and Crop Science; Forestry.
Pp. 282-293
CIMES: A package of programs for determining canopy geometry and solar radiation regimes through hemispherical photographs
Alemu Gonsamo; Jean-Michel N. Walter; Petri Pellikka
Palabras clave: Horticulture; Computer Science Applications; Agronomy and Crop Science; Forestry.
Pp. 207-215
Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods
R. Confalonieri; M. Foi; R. Casa; S. Aquaro; E. Tona; M. Peterle; A. Boldini; G. De Carli; A. Ferrari; G. Finotto; T. Guarneri; V. Manzoni; E. Movedi; A. Nisoli; L. Paleari; I. Radici; M. Suardi; D. Veronesi; S. Bregaglio; G. Cappelli; M.E. Chiodini; P. Dominoni; C. Francone; N. Frasso; T. Stella; M. Acutis
Palabras clave: Horticulture; Computer Science Applications; Agronomy and Crop Science; Forestry.
Pp. 67-74
Evaluation of hierarchical self-organising maps for weed mapping using UAS multispectral imagery
X.E. Pantazi; A.A. Tamouridou; T.K. Alexandridis; A.L. Lagopodi
; J. Kashefi; D. Moshou
Pp. 224-230
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes
Ana Paula Dalla Corte; Deivison Venicio Souza; Franciel Eduardo Rex; Carlos Roberto Sanquetta; Midhun Mohan; Carlos Alberto Silva; Angelica Maria Almeyda Zambrano; Gabriel Prata; Danilo Roberti Alves de Almeida; Jonathan William Trautenmüller; Carine Klauberg; Anibal de Moraes; Mateus N. Sanquetta; Ben Wilkinson; Eben North Broadbent
Palabras clave: Horticulture; Computer Science Applications; Agronomy and Crop Science; Forestry.
Pp. 105815
Estimation model of soluble solids content in bagged and non-bagged apple fruits based on spectral data
Fengyun Wang; Yimin Zhao; Jiye Zheng; Kangkang Qi; Yangyang Fan; Xulin Yuan; Huaijun Ruan
Palabras clave: Horticulture; Computer Science Applications; Agronomy and Crop Science; Forestry.
Pp. 106492
Deep learning based soybean seed classification
Ziliang Huang; Rujing Wang; Ying Cao; Shijian Zheng; Yue Teng; Fenmei Wang; Liusan Wang; Jianming Du
Pp. 107393