Related Experiment Video
Updated: Dec 13, 2025
15:30
A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
Published on: August 5, 2020
12.3K
Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture.
Titus Balan1, Catalin Dumitru1, Gabriela Dudnik2
1Atos Convergence Creators, 500090 Brasov, Romania.
Sensors (Basel, Switzerland)
|July 30, 2020
Summary
This study introduces a multi-sensor Internet of Things (IoT) system for smart agriculture, utilizing AI-powered sensors and data analytics to optimize crop yields and farm efficiency while minimizing environmental impact.
Area of Science:
- Agricultural Science
- Environmental Science
- Computer Science
Background:
- Growing global population necessitates increased food production and agricultural efficiency.
- Environmental concerns require sustainable farming practices to limit pollution.
- Smart agriculture technologies offer solutions for optimizing resource management.
Purpose of the Study:
- To describe a multi-sensor Internet of Things (IoT) system for smart agriculture.
- To detail the integration of an AI-based gas identification sensor.
- To present an analytics and decision support system with farmer feedback and a social trust index.
Main Methods:
- Development of a multi-sensor IoT system including soil and air probes.
- Integration of an innovative Artificial Intelligence (AI) based gas identification sensor.
- Implementation of an analytics and decision support system with a farmer feedback loop and social trust index.
Main Results:
- The system enables data-driven farming recommendations.
- Enhanced sensor integration and AI capabilities improve agricultural monitoring.
- The decision support system, augmented by farmer feedback, increases reliability.
Conclusions:
- The developed IoT system is a key enabler for smart agriculture.
- AI-powered sensors and data analytics optimize yields and efficiency.
- The system contributes to sustainable food production with reduced environmental impact.
Keywords:
Social IoTagriculturedata analyticsdata loggerdecision support systemgas sensorsensorsocial feedbackMore Related Videos
Related Concept Videos
02:35Key Elements for Plant Nutrition
23.7K
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
23.7K
01:22Multi-input and Multi-variable systems
307
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
In the absence of...
307
01:14Statistical Analysis System (SAS)
671
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
671
01:22Statistical Package for the Social Sciences (SPSS)
932
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
932
01:28Automatic Processing and Automatic Social Behavior
158
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
158
01:27Microorganisms in Agriculture and Food industry
1.0K
Microorganisms play a crucial role in agriculture and the food industry, contributing to soil fertility, crop protection, and food production. Their functions range from nitrogen fixation and biopesticide production to fermentation and food preservation, making them indispensable to sustainable farming and food safety.Role in AgricultureNitrogen-fixing bacteria, such as Rhizobium (symbiotic) and Azotobacter (free-living), convert atmospheric nitrogen into ammonia through biological nitrogen...
1.0K