IOT Based Monitoring System in Smart Agriculture

Prathibha, Soma; Hongal, Anupama; Jyothi, Mekala

doi:10.1109/icraect.2017.52

Cited by 333 publications

(94 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Most of the research studies have performed on water management by monitoring such environmental parameters as temperature, humidity and soil moisture [1], [3], [5], [19], [25]. Many of the findings have focused on better water utilization, reduction inhuman intervention and the cost of production [18], [27].…”

Section: Discussionmentioning

confidence: 99%

“…For example, IoT-based water management systems collect environmental attributes such as temperature, water level and humidity through the sensors and provide accurate irrigation timing [19], [21]. In addition, crop management systems developed using IoT monitor the temperature, humidity and soil through sensors thus providing adequate information so that farmers can manage the crops appropriately [25]. Overall, these IoT-based systems help to reduce human interaction, power utilization and reduce cost in the field of agriculture.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Madushanki¹,

Halgamuge²,

Wirasagoda³

et al. 2019

IJACSA

150

View full text Add to dashboard Cite

It is essential to increase the productivity of agricultural and farming processes to improve yields and costeffectiveness with new technology such as the Internet of Things (IoT). In particular, IoT can make agricultural and farming industry processes more efficient by reducing human intervention through automation. In this study, the aim to analyze recently developed IoT applications in the agriculture and farming industries to provide an overview of sensor data collections, technologies, and sub-verticals such as water management and crop management. In this review, data is extracted from 60 peer-reviewed scientific publications (2016-2018) with a focus on IoT sub-verticals and sensor data collection for measurements to make accurate decisions. Our results from the reported studies show water management is the highest subvertical (28.08%) followed by crop management (14.60%) then smart farming (10.11%). From the data collection, livestock management and irrigation management resulted in the same percentage (5.61%). In regard to sensor data collection, the highest result was for the measurement of environmental temperature (24.87%) and environmental humidity (19.79%). There are also some other sensor data regarding soil moisture (15.73%) and soil pH (7.61%). Research indicates that of the technologies used in IoT application development, Wi-Fi is the most frequently used (30.27%) followed by mobile technology (21.10%). As per our review of the research, we can conclude that the agricultural sector (76.1%) is researched considerably more than compared to the farming sector (23.8%). This study should be used as a reference for members of the agricultural industry to improve and develop the use of IoT to enhance agricultural production efficiencies. This study also provides recommendations for future research to include IoT systems' scalability, heterogeneity aspects, IoT system architecture, data analysis methods, size or scale of the observed land or agricultural domain, IoT security and threat solutions/protocols, operational technology, data storage, cloud platform, and power supplies.12 | P a g e www.ijacsa.thesai.orgThis review provides an overall picture of currently developed IoT applications in agriculture and farming between 2016 and 2018.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Madushanki¹,

Halgamuge²,

Wirasagoda³

et al. 2019

IJACSA

150

View full text Add to dashboard Cite

show abstract

“…All the information from all the units in the field are collected into one MSSQL database where the data can be retrieved for further processing, visualization or export. We believe that the Apache Spark combined with the MLlib library can be a useful tool in order to diagnose unwanted behavior and predict fault detection.as future study, the IOT system in smart agriculture as described in [20] is under investigation and the group has predicted innovative position tracking with Augmented Reality technology [21] for position tracking which is capable to link AR technology with precision agriculture.…”

Section: Discussionmentioning

confidence: 99%

Innovative IoT Sensing and Communication Unit in Agriculture

Kapp¹,

Petrů²,

Moezzi³

2019

EJEE

View full text Add to dashboard Cite

“…Additionally, agricultural products quality can be improved because farmers observe whole cycle from seeding to selling using this IoT-based agricultural production system. Prathibha et al,(2017) says that , Internet of Things (IoT) is widely used in connecting devices and collecting data 733 information [4]. Internet of Things is used with IoT frameworks to handle and interact with data and information.…”

Section: …………………………………………………………………………………………………… Introduction:-mentioning

confidence: 99%