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קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Year:
2020
Authors :
כהן, יפית
;
.
Volume :
Co-Authors:

A.M. Mouazen, Thomas Alexandridis, Henning Buddenbaum, Dimitrios Moshou, David Mulla, Said Nawar, Kenneth A. Sudduth

Facilitators :
From page:
35
To page:
138
(
Total pages:
104
)
Abstract:

The first requirement for successful implementation of precision agriculture in the plant production sector is to measure and map within-field spatial and temporal variability. This can be achieved by means of two main sensing categories, namely, remote sensing and proximal sensing, for characterizing both soils and crops. Each of these two categories has advantageous and shortcomings. This chapter discusses the potential of different sensing technologies to characterize within-field variability of soils and crops, by providing high sampling resolution data necessary for site-specific management of farm input resources (e.g., fertilizers, water for irrigation, seeds and pesticides). Each of the sensing methods presented are discussed in terms of (1) a brief introduction of a technology, (2) list of properties and associated accuracy and practicality and (3) application case studies for agricultural management.

Note:

Chapter 2

Related Files :
crop
High sampling resolution
monitoring
precision agriculture
proximal sensing
remote sensing
remote sensing
soil
עוד תגיות
תוכן קשור
More details
DOI :
https://doi.org/10.1016/B978-0-12-818373-1.00002-0
Article number:
0
Affiliations:
Database:
Publication Type:
פרק מתוך ספר
;
.
Language:
אנגלית
Editors' remarks:
ID:
49344
Last updated date:
02/03/2022 17:27
Creation date:
31/08/2020 10:37
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The first requirement for successful implementation of precision agriculture in the plant production sector is to measure and map within-field spatial and temporal variability. This can be achieved by means of two main sensing categories, namely, remote sensing and proximal sensing, for characterizing both soils and crops. Each of these two categories has advantageous and shortcomings. This chapter discusses the potential of different sensing technologies to characterize within-field variability of soils and crops, by providing high sampling resolution data necessary for site-specific management of farm input resources (e.g., fertilizers, water for irrigation, seeds and pesticides). Each of the sensing methods presented are discussed in terms of (1) a brief introduction of a technology, (2) list of properties and associated accuracy and practicality and (3) application case studies for agricultural management.

Chapter 2

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