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Lie, D.M

López-Granados, F

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Authors

Lie, D.M

shilai, Y.M

Garcia-Torres, L

Peña-Barragán, J.M

Gómez-Candón, D

López-Granados, F

Jurado-Expósito, M

Topics

Precision Horticulture

Type

Poster

Oral

Year

2012

2008

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Filter results2 paper(s) found.
1. Research on Nutrition and Quality Detection Technology of Soil, Leaf and Fruit of Citrus Based on and Digital Image Spectroscopic Techniques The diagnosis technique of real-time lossless crop nutrition is the foundation and conditions for the precise, effective fertilization, cultivation and management, and so on. Currently, the diagnosis of crop nutrition mainly relies on the routine chemical analysis of laboratory. Due to the complicated procedure, time-consuming,... D.M. Lie, Y.M. Shilai Download paper
2. A Software for Managing Remotely Sensed Imagery of Orchards Plantations for Precision Agriculture Agronomic and environmental characteristics of fruit orchards/ forests can be automatically assessed from remote-sensing images by a computer programme named Clustering Assessment (CLUAS®). The aim of this paper is to describe the operational procedure of CLUAS and illustrate examples of the information provided for citrus orchards and Mediterranean forest. CLUAS® works as an additional menu (“add-on”) of ENVI®, a world-wide known image-processing programme, and operates... L. Garcia-torres, J.M. Peña-barragán, D. Gómez-candón, F. López-granados, M. Jurado-expósito Download paper

Filter results2 paper(s) found.

1. Research on Nutrition and Quality Detection Technology of Soil, Leaf and Fruit of Citrus Based on and Digital Image Spectroscopic Techniques

The diagnosis technique of real-time lossless crop nutrition is the foundation and conditions for the precise, effective fertilization, cultivation and management, and so on. Currently, the diagnosis of crop nutrition mainly relies on the routine chemical analysis of laboratory. Due to the complicated procedure, time-consuming,... D.M. Lie, Y.M. Shilai

Download paper

2. A Software for Managing Remotely Sensed Imagery of Orchards Plantations for Precision Agriculture

Agronomic and environmental characteristics of fruit orchards/ forests can be automatically assessed from remote-sensing images by a computer programme named Clustering Assessment (CLUAS®). The aim of this paper is to describe the operational procedure of CLUAS and illustrate examples of the information provided for citrus orchards and Mediterranean forest. CLUAS® works as an additional menu (“add-on”) of ENVI®, a world-wide known image-processing programme, and operates... L. Garcia-torres, J.M. Peña-barragán, D. Gómez-candón, F. López-granados, M. Jurado-expósito

Download paper