Sensor Based Waste Water Monitoring for Agriculture Using IoT

Rekha, P; Sumathi, K.; Samyuktha, S; Saranya, A.; Tharunya, G; Prabha, Rajanie

doi:10.1109/icaccs48705.2020.9074292

Cited by 28 publications

(11 citation statements)

References 7 publications

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“…One of the issues in the conventional technique is the use of pesticides [25] in sufficient amounts, as these chemicals are extremely hazardous and can cause a variety of health problems when humans and animals consume crops [22].Improper fertilizer usage creates soil and water contamination, which can degrade crops and expose farmers to health concerns or exposure to living creatures [27].The traditional technique of estimating the quantity of water required by crops cannot reliably forecast the area required and the quantity of water required [28].Lack of data and information about environmental and climatic issues, as well as producing crops dependent on the market need on the same soil [29], because of changes in market demand and the scarcity of resources, predictions of the assets needed to help crops flourish seldom come true…”

Section: Challengesmentioning

confidence: 99%

A survey on IoT-based smart agriculture to reduce vegetable and fruit waste

Pal

Tripathi

2022

J. Phys.: Conf. Ser.

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Agriculture automation is a top focus and developing area for a number of countries right now. We are seeing a surge in demand for Internet of Things (IoT) in various industries these days. One of the most essential applications of IoT is agriculture. Today, we notice that the world’s population is quickly rising, and an agro product plays a critical part in this population’s existence. We are conscious of the fact that resources are limited. If we continue to farm in the traditional manner, it will be extremely difficult for the rising population to survive. Due to improper fertilizers, quantity of water, chemicals and huge amount of pesticides decreases the fertility of land. There is a need for smart agriculture to monitor all these factors which affect the fertility of soil. When the fertility is decreasing it will impact on the growth of fruits and vegetables. In this paper we are going to study how we can manage our resources through Internet of Things, multispectral camera, hyper spectral camera, and thermal camera and RGB camera. Plant diseases, pesticide control, weed control, proper irrigation, and water management are all problems in agriculture that can be readily solved with the various automated and control approaches stated above.

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Section: Challengesmentioning

confidence: 99%

A survey on IoT-based smart agriculture to reduce vegetable and fruit waste

Pal

Tripathi

2022

J. Phys.: Conf. Ser.

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“…For example, image processing and AI. For instance, the Internet of Things driving innovation in [51], analyses shots of a sugarcane plant and discovers infections of pesticides on the plant's green leaves. In comparison, [52] established an Internet-of-Things-enabled device for recording the sounds emitted by larvae within trees.…”

Section: Review On Implementing Iot Based Agriculture In the Current ...mentioning

confidence: 99%

“…The LAI is a metric that is deployed to ascertain how much vegetation is present in a given region. To measure and discover the level of nitrogen in rice production [9], compute the vigour of rice as well as maize crops [8,11], and determine the presence of pests in sugarcane crops [51], LAI can be implemented in conjunction with other indicators. In addition, [67] uses UAV systems to optimise pesticide and fertiliser applications in agricultural production.…”

Section: Mpl3115a2mentioning

confidence: 99%

“…Table 6 summarises how computer vision is applied in IoT solutions to achieve image processing like pest and disease detection. Based on the reviewed paper, computer vision is also possible to clarify and manage the objects in the image acquired from the camera, such as applying computer vision to clarify types of fruit in an orchard and [31,51,80] applying computer vision to achieve pest and disease detection. Similarly, computer vision was applied in [98] as a monitoring equipment to achieve diseases detection on olive groves and [31] applied same technology to analyse the diseases that may cause morphological deformation on crops.…”

Section: Mpl3115a2mentioning

confidence: 99%

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Internet of Things Applications in Precision Agriculture: A Review

Abu

Bukhari

Ong

et al. 2022

Journal of Robotics and Control

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The goal of this paper is to review the implementation of an Internet of Things (IoT)-based system in the precision agriculture sector. Each year, farmers suffer enormous losses as a result of insect infestations and a lack of equipment to manage the farm effectively. The selected article summarises the recommended systematic equipment and approach for implementing an IoT in smart farming. This review's purpose is to identify and discuss the significant devices, cloud platforms, communication protocols, and data processing methodologies. This review highlights an updated technology for agricultural smart management by revising every area, such as crop field data and application utilization. By customizing their technology spending decisions, agriculture stakeholders can better protect the environment and increase food production in a way that meets future global demand. Last but not least, the contribution of this research is that the use of IoT in the agricultural sector helps to improve sensing and monitoring of production, including farm resource usage, animal behavior, crop growth, and food processing. Also, it provides a better understanding of the individual agricultural circumstances, such as environmental and weather conditions, the growth of weeds, pests, and diseases.

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“…The sensing systems proposed by Rekha et al and Saetta et al in [24] and [21], respectively, use alarms triggered by a distance-based anomaly detection algorithm, with predefined fixed thresholds as the basic method for classification of a time-series of measurements as an anomaly. Such methods may perform properly for drinking water distribution networks and the monitoring of physical parameters of excreted urine, since no fluctuations in those physical parameters are expected in those applications at any time or point in the network in a normal context, viz., no data seasonality.…”

Section: B Anomaly Detection Algorithms Based On Water Quality Parametersmentioning

confidence: 99%

An Internet-of-Things Enabled Smart System for Wastewater Monitoring

2022

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We present and evaluate an IoT-enabled sensing and actuating system for localizing illegal industrial harsh discharges of polluting wastewater in sewer networks. The special conditions of the sewer environment bring special challenges for the design of an IoT system and of its real-time algorithm for anomaly detection and localization in wastewater networks. The proposed design fulfills these requirements by using a new IoT architecture pattern, which we generalize and name Hop-by-hop Anomaly Detection and Actuation (HADA). The distributed anomaly detection and localization algorithm makes predictions over previous sensor measurements, while taking into account seasonality effects of wastewater and noise of the sensors. Based on simulations in a large network with three common illegal industrial wastewater pollutants, the advantages and limitations of the proposed wastewater anomaly localization system are discussed. The IoT system, including its anomaly detection and localization algorithm, was implemented using in a low-power microcontroller and tested in flowing wastewater with different harsh industrial waste.

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Sensor Based Waste Water Monitoring for Agriculture Using IoT

Cited by 28 publications

References 7 publications

A survey on IoT-based smart agriculture to reduce vegetable and fruit waste

A survey on IoT-based smart agriculture to reduce vegetable and fruit waste

Internet of Things Applications in Precision Agriculture: A Review

An Internet-of-Things Enabled Smart System for Wastewater Monitoring

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