Please use this identifier to cite or link to this item:

Title: Differentiated Management Center-Pivot Travel Speed Based on Soil Apparent Electrical Conductivity and Remote Sensing
Authors: Serrano, João
Shahidian, S.
Rodrigues, Carlos
Garcia, Sónia
Noéme, João
Palha, José
Keywords: VRI
Precision Agriculture
efficient use of water
Issue Date: 2021
Publisher: AgEng
Citation: João Serrano, Shakib Shahidian, Carlos Rodrigues, Sónia Garcia, João Noéme, José Palha (2021). Differentiated Management Center-Pivot Travel Speed Based on Soil Apparent Electrical Conductivity and Remote Sensing. Online AgEng2021 Conference, 5-8 July, pp. 1-8.
Abstract: Climate change, in particular the trend towards global warming, will significantly affect the hydrological cycle leading to a general reduction of the available water for agriculture. In this scenario it is therefore essential that research could focus on the development of ‘water saving’ technologies and techniques. Conventional irrigation systems are based on the application of a homogeneous input over the field, considered as a uniform spatial unit. However, within the field, can be often recognized a spatial heterogeneity of soil characteristics, topography, microclimate, as well as of crop development. These factors result in spatial variability of irrigation efficiency and a non-uniform irrigation requirement. This work summarizes the methodology followed in a “Precision Irrigation” project for implementation of variable rate irrigation (VRI) systems in large scale application using center pivots. This is based on technologies for monitoring (i) soil electrical conductivity (ECa), (ii) soil moisture, (iii) vegetation indices (Normalized Difference Vegetation Index, NDVI) obtained from satellite images, and automatic pivot travel speed control technologies. The VRI was achieved by varying the pivot travel speed. ECa maps were the basis for the definition of irrigation management zones (IMZ) in an experimental corn field of 28ha located in Samora Correia (Portugal). NDVI time-series were used to establish the subsequent prescription irrigation maps. The main result of this study was the reduction of spatial yield variability achieved in the 2017 corn crop campaign with the VRI management compared to the conventional irrigation management. This study demonstrates how a relatively simple solution could be designed and implemented in large scale, showing that precision irrigation techniques are ready to provide tangible results that represent an important contribution to the sustainability.
Type: lecture
Appears in Collections:ERU - Comunicações - Em Congressos Científicos Internacionais
MED - Comunicações - Em Congressos Científicos Internacionais

Files in This Item:

File Description SizeFormat
2496_JS_VRI_ageng2021_full_paper.pdf1.21 MBAdobe PDFView/OpenRestrict Access. You can Request a copy!
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois