scholarly journals Risk aware optimization of water sensor placement

2021 ◽  
Author(s):  
Antonio Candelieri ◽  
Andrea Ponti ◽  
Francesco Archetti
Keyword(s):  
Sensor Placement ◽  
Water Sensor

scholarly journals Sensor placement for soil water monitoring in lemon irrigated by micro sprinkler

2007 ◽  
Vol 11 (1) ◽  
pp. 46-52 ◽  
Author(s):  
Eugênio F. Coelho ◽  
Delfran B. dos Santos ◽  
Carlos A. V. de Azevedo
Keyword(s):  
Water Potential ◽  
Water Content ◽  
Soil Water ◽  
Root Length ◽  
Sensor Placement ◽  
Soil Water Potential ◽  
Water Extraction ◽  
Soil Profiles ◽  
Water Sensor ◽  
Root Water Extraction

This research had as its objective the investigation of an alternative strategy for soil sensor placement to be used in citrus orchards irrigated by micro sprinkler. An experiment was carried out in a Tahiti lemon orchard under three irrigation intervals of 1, 2 and 3 days. Soil water potential, soil water content distribution and root water extraction were monitored by a time-domain-reflectometry (TDR) in several positions in soil profiles radial to the trees. Root length and root length density were determined from digital root images at the same positions in the soil profiles where water content was monitored. Results showed the importance of considering root water extraction in the definition of soil water sensor placement. The profile regions for soil water sensor placement should correspond to the intersection of the region containing at least 80% of total root length and the region of at least 80% of total water extraction. In case of tensiometers, the region of soil water potential above -80 kPa should be included in the intersection.

scholarly journals Management of trickle irrigation for banana: Hydrodynamic processes and sensor placement at the root zone

2021 ◽  
Vol 25 (5) ◽  
pp. 312-318
Author(s):  
Edvaldo B. Santana Junior ◽  
Eugênio F. Coelho ◽  
Marcelo R. dos Santos ◽  
Alisson J. P. da Silva ◽  
João B. R. da S. Reis ◽  
...  
Keyword(s):  
Soil Water ◽  
Root Zone ◽  
Block Design ◽  
Sensor Placement ◽  
Hydrodynamic Process ◽  
Trickle Irrigation ◽  
Irrigation Systems ◽  
Flow Rates ◽  
Water Sensor ◽  
Hydrodynamic Processes

ABSTRACT Information on soil hydrodynamic processes assists in explaining the soil-water-plant relationship and has practical applications to irrigation management, such as the definition of soil water sensor placement. The objective of this study was to detail the hydrodynamic process in the soil root zone and to define the location for placement of soil water sensor under different configurations of trickle irrigation in banana crops. Three micro-sprinkler emitters with flow rates of 70 (T1), 53 (T2), 35 L h-1 (T3), and two drip system, one with one drip line per row of plants (T4), and another with two drip lines per row of plants (T5) were evaluated. The experiment was conducted in a randomized block design with five repetitions. Higher water extraction was found for irrigation systems with higher flow rates for all configurations of trickle irrigation systems. Soil moisture sensors in drip systems should be placed at distances of 0.75 to 0.81 m from the pseudo stem and at depths of 0.33 to 0.44 m. Under micro-sprinkler systems, soil water sensors should be placed at 0.75, 0.77 and 0.83 m from the pseudo stem towards to the emitter and at depths of 0.33, 0.48 and 0.55 m for emitter flow rates of 35, 53 and 70 L h-1, respectively.

New formulation and optimization methods for water sensor placement

2016 ◽  
Vol 76 ◽  
pp. 128-136 ◽  
Author(s):  
Yue Zhao ◽  
Rafi Schwartz ◽  
Elad Salomons ◽  
Avi Ostfeld ◽  
H. Vincent Poor
Keyword(s):  
Sensor Placement ◽  
Optimization Methods ◽  
Water Sensor ◽  
New Formulation

Laboratory Evaluation of a Commercial Dielectric Soil Water Sensor

2003 ◽  
Vol 2 (4) ◽  
pp. 650
Author(s):  
Bobbie McMichael ◽  
Robert J. Lascano
Keyword(s):  
Soil Water ◽  
Laboratory Evaluation ◽  
Water Sensor

Optimal Sensor Placement Algorithm for Structural Damage Identification

2020 ◽  
Vol 14 (1) ◽  
pp. 69-81
Author(s):  
C.H. Li ◽  
Q.W. Yang
Keyword(s):  
Structural Damage ◽  
Damage Identification ◽  
Sensor Placement ◽  
Optimization Procedure ◽  
Frame Structure ◽  
Truss Structures ◽  
Optimal Sensor Placement ◽  
Structural Damage Identification ◽  
Placement Algorithm ◽  
Sensor Locations

Background: Structural damage identification is a very important subject in the field of civil, mechanical and aerospace engineering according to recent patents. Optimal sensor placement is one of the key problems to be solved in structural damage identification. Methods: This paper presents a simple and convenient algorithm for optimizing sensor locations for structural damage identification. Unlike other algorithms found in the published papers, the optimization procedure of sensor placement is divided into two stages. The first stage is to determine the key parts in the whole structure by their contribution to the global flexibility perturbation. The second stage is to place sensors on the nodes associated with those key parts for monitoring possible damage more efficiently. With the sensor locations determined by the proposed optimization process, structural damage can be readily identified by using the incomplete modes yielded from these optimized sensor measurements. In addition, an Improved Ridge Estimate (IRE) technique is proposed in this study to effectively resist the data errors due to modal truncation and measurement noise. Two truss structures and a frame structure are used as examples to demonstrate the feasibility and efficiency of the presented algorithm. Results: From the numerical results, structural damages can be successfully detected by the proposed method using the partial modes yielded by the optimal measurement with 5% noise level. Conclusion: It has been shown that the proposed method is simple to implement and effective for structural damage identification.

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