# data[].attributes.body
Child Education or students’ thinking ability.

# data[].attributes.attachment_link.title
Agronomic and economic evaluation of Vetiver grass (Vetiveria zizanioides L.) as means for phytoremediation of diesel polluted soils in Israel

# data[].attributes.attachment_link.title
Monitoring of pet animal in smart cities using animal biometrics

# data[].attributes.body
Differences in percentage of accuracy in recognizing images for different approaches.

# data[].attributes.body
Processing time of image recognition.

- The time needed for recognition depends on the size of the input image. Specifically, as shown in table 3, Dog Image-1 with 10kb needed 11.50 seconds, Dog Image-2 with 20kb was 13.25 seconds, Dog Image-3 with 40kb was 14.85 seconds, and more.

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Types of recognition approach

Size of the images

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Teaching and learning methods.

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Learning facility

Student’s mental condition

Number of students per group

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Teacher’s knowledge about the topic.

Student’s level of understanding about the topic.

# data[].attributes.body
Gender, sex, race, grade level, and school.

# data[].attributes.body
Agronomic and economic evaluation of Vetiver grass: Plant height/growth, fresh weight, dry weight and percentage of surviving plants

# data[].attributes.body
Population of pet animals

# data[].attributes.body
Diesel contamination (4 levels; main plot treatment)

Vetiver (2 levels; subplot treatment) (With / Without Vetiver)

# data[].attributes.body
Disturbed infrared detector

# data[].attributes.body
Ages of the pet’s owners

# data[].attributes.body
All types of soil in Israel

Pollutants are not readily available for plants

# data[].attributes.body
Insects and Animals

Human Intervention

Environmental conditions

# data[].attributes.body
Not applicable

Alternative:

Type of Plant

# data[].attributes.body
Type of Treatment/Decontamination Used
I. Removal and Excavation
II. Soil and Vapor Extraction (SVE)
III. Bioventing
IV. Phytoremediation Method

# data[].attributes.body
Quality and number of input images

# data[].attributes.body
Current mark of the student's

# data[].attributes.body
Plant's height/growth, Fresh weight, Dry weight and Percentage of survivability.

# data[].attributes.body
Effectiveness of Vetiver Plant as Phytoremediation

# data[].attributes.body
Plant's Condition

Community’s Satisfaction with Vetiver Plant as a Phytoremediation Method for Decontaminating Diesel-Fueled Soil

# data[].attributes.body
• The Height and weight of the pet (dog)

# data[].attributes.body
Plant's Height

Implementation of Vetiver Plant as a Phytoremediation Method for Decontaminating Diesel-Fueled Soil.

# data[].attributes.body
Plant's Growth

# data[].attributes.body
Quality of the methods

# data[].attributes.body
• Good recognition or Bad recognition

# data[].attributes.body
• Matching techniques

# data[].attributes.body
• Pet Appearance

# data[].attributes.body
• Image Resolution

# data[].attributes.body
Student Score

Time

# data[].attributes.body
Effective Method or Ineffective Method (Teaching & Learning).

# data[].attributes.body
Variety of the methods' correlation with information retention.

# data[].attributes.body
• Student Performance

# data[].attributes.body
• Students' Learning Ability