IoT-based Spatial Monitoring and Environment Prediction System for Smart Greenhouses

Hernández-Morales, Carlos Alberto; Rivera, Juan Pablo; Villarreal‐Guerrero, Federico; Delgado‐Sánchez, Pablo; Guadiana-Alvarado, Zoe Arturo

doi:10.1109/tla.2023.10128933

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The world's population is growing, which results in less open area being available for plant growth and maintaining the food supply for everyone. Global climate change, pollution, the loss of crop-growing soil integrity, a rapid increase in urbanization, agricultural land sacristy, and other issues are some of the concerns in rural regions [1]. Therefore, farmers must practice smart farming, which might help in increasing food production yields [2].…”

Section: Introductionmentioning

confidence: 99%

Automated hydroponic nutrient control system for smart agriculture

Naveena,

Nannu Saheb,

Mamidi

et al. 2024

IJEECS

View full text Add to dashboard Cite

<p><span>Hydroponics is a type of soil-free farming that uses less water and other resources than conventional soil-based farming methods. Hydroponic cultivation system has high yield per acre of land with minimal consumption of water and can be a possible to meet the growing food demand of the world. The hydroponic plants fertility must be preserved, proper nutrition, a environmental temperature, and nutrient stability are crucial. It will be simpler for a farmer to keep track of all hydroponic plants by automatically monitoring nutrient flow and ambient temperature stability. By implementing artificial intelligence-based regulating algorithms in the agriculture industry, recent technology advancements are highly helpful in resolving these issues. This paper presents, automated hydroponic nutrient control system (AHNCS) for smart agriculture. System architecture is consisting of sensors network, Raspberry pi 4 microcontroller and actuators. Raspberry pi 4 microcomputer read sensor values from sensors process and activates particular actuator. The automation of the hydroponic system helps to avoid human intervention. The utilization of sensors and actuators, promptly act for the needs of the plant without any delay. The AHNCS having high accuracy, high efficiency and less delay. Hence, automation of the existing hydroponic system can reduce human dependency, provide accurate results, constant monitoring of plant health.</span></p>

show abstract

Section: Introductionmentioning

confidence: 99%

Automated hydroponic nutrient control system for smart agriculture

Naveena,

Nannu Saheb,

Mamidi

et al. 2024

IJEECS

View full text Add to dashboard Cite

show abstract

“…Wireless communication technologies, such as Wi-Fi, Bluetooth and more specifically its low power version, Bluetooth low energy (BLE), have become ubiquitous in modern society, enabling short-range but reliable and secure communication between a vast array of devices [1,2]. In various Internet-of Thing (IoT)-based applications designed for patient monitoring [3,4], elderly care [5,6], environment monitoring [7,8], vehicular congestion monitoring [9] and other smart living appliances in urban areas [10] as well as localization in areas deprived of satellite signals [11,12,13,14], wireless connectivity using such technologies plays a pivotal role in facilitating data exchange and access to online resources. However, as the number of wirelessly connected devices continues to proliferate, the demand for efficient power management solutions to support their sustainable operation also increases.…”

Section: Introductionmentioning

confidence: 99%

Statistical Real-time Power Consumption Analysis of Wi-Fi and BLE Scan Operation: A Comparative Study

Chakraborty,

Sadhukhan,

Das

et al. 2024

Preprint

View full text Add to dashboard Cite

The widespread prevalence of Wi-Fi and Bluetooth or its low-power version, Bluetooth low energy (BLE), in modern society has significantly increased their use for setting up wireless connectivity in various Internet-of Things (IoT)-based applications, such as patient monitoring, indoor localization and environment monitoring. The growing demand for integrating efficient power management solutions into these IoT applications has motivated us to focus on the measurement and analysis of power consumption during wireless scan activities using Wi-Fi and BLE since these are crucial for the connection establishment. Although a few research exists on the measurement and analysis of power consumed by wireless technologies like Wi-Fi, BLE and Zigbee in the literature, none have paid attention to the accurate measurement and analysis of real-time power consumption during wireless scan operations at the application level. To address this gap, we have designed a novel mobile application for the accurate measurement of real-time power consumption during wireless scan operations in order to assess the energy efficiency of various IoT applications involving those wireless technologies. Extensive experimentation was carried out in this study to measure real-time power consumption during Wi-Fi and BLE scans as well as operations without any scans (i.e., no scan) at varying durations and distances of the measuring device from the beacon. Additionally, a comparative statistical analysis of the collected power measurements under three different cases (Wi-Fi scan, BLE scan and no scan) using mean, median and standard deviation was performed to demonstrate the real-time power consumption usage patterns of these operations. This is followed by an insightful discussion on the influence of duration and distance on such power consumption patterns. Furthermore, several avenues for future research based on the findings of this study are also presented here.

show abstract

IoT-based Spatial Monitoring and Environment Prediction System for Smart Greenhouses

Cited by 2 publications

References 0 publications

Automated hydroponic nutrient control system for smart agriculture

Automated hydroponic nutrient control system for smart agriculture

Statistical Real-time Power Consumption Analysis of Wi-Fi and BLE Scan Operation: A Comparative Study

Contact Info

Product

Resources

About