Page 59 - AI Ready – Analysis Towards a Standardized Readiness Framework

AI Ready – Analysis Towards a Standardized Readiness Framework

Table 3: Analysis of use case scenarios (continued)

Use case Scenarios Type of sensor/ Deployment as Thresholds for Experiments and
actor Integral/add-on validation and Specifications for
controls compliance validation�
Pesticide Environment Add-on Sensor specific Outdoor, in the fields
optimiza- and soil [31] In simulated scenar-
tion sensors ios
Visual data
sensors
(cameras)
Local IoT sensors, Additional [16][17][20] Farmers’ awareness
farming training, support mech- of IoT technologies
decisions awareness anisms [16] and benefits [16]
Crop and campaigns, [20], analysis Grey Relational
manage- resource methods [17]
ment distribution IoT-based Analysis (GRA) and
Analytical Hierarchi-
Smart Irriga-
plans tion System cal Process (AHP)
(I-SIMS) methodologies [17],
Agricul- recommendations to
ture data cultivate differently
collection, in the desert areas of
processing, Saudi Arabia [20]
and deci-
sion-making
services [20]
Water Soil sensor, Add-on Sensor param- Ruggedization,
IoT Sens- usage weather data, eters [15] calibration, and e2e
ing for optimiza- Soil data, plant validation
Agriculture tion profile data
[94]
Underwa- Productivity Camera and Add-on [39] Pilot setup in the lab
ter sensing and quality water sensors
for Aqua- in aquacul-
culture ture
Leaf image- Drone Add-on [38] Outdoor fields
based mounted
Disease cameras
identi-
fication
in wheat
Plant crops [38]
disease Leaf image- Drone Swarms Height and Greenhouse
identifica- based mounted field of view, deployments
tion disease cameras and correlation
identi- greenhouse between
fication sensors sensor data
from UAV and drone
swarms captures [60]
in green-
houses [60]
GWL Weather Add-on [48] Lab testing and
Peatland prediction station, water deployment testing
fire predic- and DC level sensor,
tion prediction and soil sensor
[48]

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