MATEC Web of Conferences 392, 01098 (2024) https://doi.org/10.

1051/matecconf/202439201098
ICMED 2024

Table 3. Sensing Platforms

Stages of Data
State of the art Key Issues
Chain
Sensors,Oper data,Unamed serial
Availability,
Data Capture vehicles(UAV), biometric sensing,
Quality formats
genotype information, reciprocal data
Cloud based platform, Hadoop
Distributed File System(HDFC) , Quick and safe
Data Storage
Hybrid storage systems, cloud based access to data
data warehouse
Safety agreements
Wireless cloud based platform linked
Data Transfer or responsibilities
open Data
and Liabilities
Heterogeneity of
Machine Learning algorithms data sources
Data
,normalization , visualization and automation of
Transformation
assynchronization data cleaning and
preparation
Semantic
Yield models ,planting instructions ,
heterogeneity,real
Data Analytics benchmarking ,decision ontologies
-time analysis
,cognitive computing
,scalability
Ownership,privac
Data Marketing Data Visualization y,new business
models

Table 4. Sensor Interfaces

Feature MICAZ Tetos IRIS Lotus Imode2 SenS
pot
Processor ATmega12 IMSP130 ATmega12 CortexM3 Marvel/Xscaler MRA
8 8 XA27 M920
T
Clockspeed 7378 6717 7378 10-800 13-406 180
Buswidth(b 8 16 8 32 32 32
its0
System 4 10 4 64 256 512
memory(
Operating 2400 2400 2400 2400 2400 2400
frequency
band
(MHz)
Transceiver OC24200 CC2420 Atmel AtmedRF230 CC2420 50215
chip RF230 .4
Number of programma programma programma ----- In steps of ---
channels ble ble ble 5BMHz
Date 250 250 250 250 250 250
rate(Kbps)
I/O UART UART UART 3XUART UART3 SP2x DPX1
Connectivit 12C,SPI,D 12C,SPI,D 12C,SPI,D SPL12C,12S,GP0, 12C,12S,GPO,D 2C
y RO RO RO ADC O ITAG CPO

7
MATEC Web of Conferences 392, 01098 (2024) https://doi.org/10.1051/matecconf/202439201098
ICMED 2024

Fig. 4. Sensor interfacing hardware

5 Experimental Results

The integration of Internet of Things (IoT) technology in agriculture offers transformative

opportunities across cultivation, storage, transportation, and farm equipment management.
Through the deployment of sensors, drones, and automated systems, farmers gain real-time
insights into soil conditions, weather patterns, and crop health, enabling informed decisions
on irrigation, fertilization, and pest control to enhance yields and resource efficiency. IoT-
enabled storage facilities ensure optimal conditions for perishable goods through remote
monitoring of temperature, humidity, and gas concentrations, while predictive analytics
preemptively address spoilage risks. In transportation, IoT facilitates real-time tracking of
vehicles and cargo conditions, optimizing routes and delivery schedules to mitigate
spoilage and theft risks. For farm equipment, IoT-driven monitoring systems enable
proactive maintenance and repair activities, reducing downtime and operational costs
through condition monitoring and predictive maintenance algorithms. Despite these
benefits, challenges such as data privacy, interoperability, and cost barriers remain,
requiring concerted efforts to address widespread adoption and realization of IoT's potential
in agriculture.