Monitoring of Various Crucial Parameters and Control of Salinity Damage in Banana Crop (Banntex) using WSN and IoT

In India 60 percent of total cultivated land is fully dependent on rain and if there is less than average rain fall than it results into significant reduction in the overall agricultural production and it leads heavy losses to farmers and ultimately it affects the overall gross domestic production of India. Banana is an important fruit and it is one of good cash crop in India. In this research work, our aim is to design and implement Banana Crop System (Banntex) to sense crucial parameters and early detection of diseases and control using Wireless Sensor Networks (WSN) and Internet of Things (IoT). To implement Banntex we uses advancement of new technology like Internet of Things (IoT), Sensors development and Improved Wireless Sensor Networks, we can design and developed Precision Agriculture systems in which various sensors are used to measure the different parameters like temperature of air and soil, relative humidity, water potential of banana field, pH value of soil, Electric conductivity of soil, salinity of banana field soil, Moisture changes in soil, soil quality, fertility of soil, ground water quality and crop growth. Based on the measured parameters this system can be used to control and automate the farming processes. This precision system empowers farmers to keep updated, early detection of soil parameters and take necessary steps to improve it further. It results to improve the biomass, roots and overall growth of banana crops and finally it increases productivity and improved quality of farming with minimum manual tasks. Experimental results will show the significant improvement in the Banana crop production and Quality of Banana Fruit using our proposed Banntex System.

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WSN and IoT Based Monitoring of Various Macronutrient Parameters and Disease Control of Banana Crop

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.e2802.039520 ◽

2020 ◽

Vol 9 (5) ◽

pp. 1290-1296

Keyword(s):

Internet Of Things ◽

Early Detection ◽

Precision Agriculture ◽

Banana Fruit ◽

Complete Control ◽

On Line ◽

Manual Tasks ◽

And Control ◽

Banana Crop

In India, banana is an important fruit. In this research, we designed and develop a precision agriculture system to monitor the various macronutrients and various crucial parameters to control and early detection of various diseases of banana crop using Wireless Sensor Networks (WSN) and Internet of Things (IoT). Developed precision agriculture system is used various sensors to sense and measure various micronutrients like Magnesium (Mg), Calcium (Ca), Sulfur (S), nitrite content in soil, ground water quality, crop growth, pest detection, crop on line monitoring, animal intrusion into the field and so on. It also measures the different parameters like change in weather, temperature, humidity, moisture changes in soil, quality and fertility of soil, various weeds, and level of water. Precision agriculture system implemented using advance sensors and improved technologies like WSN, IoT. Research experimental results show significant improvement in quality of banana fruit and overall production of banana crop. Before design and implementation we have carried out a detailed literature review on various approaches of precision monitoring system using Internet of Things (IoT). Proposed precision agriculture system can be used to automate and complete control of all farming processes. Our major focused is on monitoring macronutrients like Magnesium (Mg), Calcium (Ca) and Sulfur (S) parameters, to supply balance macronutrients using automatic action and early detection of diseases and control of Banana Crops System which will result to increase the productivity and quality of Banana products. This precision agriculture system keep farmers/users updated and empowers with minimum manual tasks.

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ENVIRONMENTAL MONITORING BERBASIS INTERNET OF THINGS UNTUK PETERNAKAN CERDAS

Jukung (Jurnal Teknik Lingkungan) ◽

10.20527/jukung.v5i1.6201 ◽

2019 ◽

Vol 5 (1) ◽

Author(s):

Munsyi Munsyi ◽

Muhammad Syahid Febriadi ◽

Nahdi Saubari

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Internet Of Things ◽

Environmental Monitoring ◽

Environmental Conditions ◽

Smart City ◽

Wireless Sensor ◽

Quality Data ◽

The Government

Di era Internet of Things (IoT). Siapapun dapat mengakses data dimanapun dan kapanpun. Semua data yang tersimpan dapat diakses dengan menggunakan perangkat seperti smartphone, laptop, dan komputer. Salah satu dari teknologi Internet of Things adalah smart city untuk memonitoring lingkungan. Untuk dapat mengetahui kondisi dan kualitas suatu lingkungan, seseorang tidak perlu lagi menunggu pengumuman informasi atau datang ke instansi terkait di pemerintahan. Pemanfaatan IoT pada monitoring lingkungan dapat di terapkan pada bidang peternakan. Hal ini dapat membantu seseorang dalam mengetahui kualitas dari kondisi lingkungan yang akan dimanfaatkan untuk peternakan. Dalam hal ini adalah bagaimana mengetahui peternakan yang cocok untuk diterapkan dilingkungan yang dia tuju untuk membangun peternakan sapi atau peternakan ayam. Menggunakan perangkat wireless sensor networks (WSN) untuk melakukan pengambilan nilai dari kondisi lingkungan tersebut dapat membantu mengetahui kondisi dan kualitas lingkungan. IoT membantu seseorang untuk membuka usaha dibidang peternakan yang cocok untuk wilayah tersebut tanpa harus melakukan banyak survey yang menelan banyak biaya. Hanya dengan menggunakan teknologi IoT siapapun dapat mendapatkan data kualitas lingkungan yang cocok untuk membuka sebuah peternakan dengan kondisi lingkungan yang sudah diketahui sebelumnya. Kata kunci: Internet of Things, Kondisi Lingkungan, Peternakan, Smart City, WSN. In the Internet of Things era (IoT). Everyone can access the data in anywhere and anytime. All stored data can be accessed using end devices such as smartphones, laptops and computers. One of the IoT technologies is a smart city for monitoring the environment. To be able to know the condition and quality of an environment, everyone does not need to wait for the announcement of information or come to the relevant agencies in the government. Utilization of IoT on Environmental Monitoring can be applied to the field of ranch. in this case it will be used for helping someone in knowing the quality of environmental conditions that will be used for. In this case it is how to find out which ranchs are suitable to be applied in the environment from the user that he want to construct cow or chicken ranch. Using wireless sensor networks (WSN) to retrieve values from these environmental conditions can help determine the condition and quality of the environment. IoT helps someone to open a business in field of ranchs that is suitable for region without having to do many survey. Only by using IoT, anyone can get suitable environmental quality data to open a ranch with environmental conditions that have been known before.Keywords: Environmental conditions, Internet of Things, Ranch, Smart City, WSN.

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Quality of service analysis and control for wireless sensor networks

2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975) ◽

10.1109/mahss.2004.1392175 ◽

2005 ◽

Cited By ~ 16

Author(s):

J. Kay ◽

J. Frolik

Keyword(s):

Wireless Sensor Networks ◽

Quality Of Service ◽

Sensor Networks ◽

Wireless Sensor ◽

And Control

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E2-MACH: Energy efficient multi-attribute based clustering scheme for energy harvesting wireless sensor networks

International Journal of Distributed Sensor Networks ◽

10.1177/1550147720968047 ◽

2020 ◽

Vol 16 (10) ◽

pp. 155014772096804

Author(s):

Inam Ul Haq ◽

Qaisar Javaid ◽

Zahid Ullah ◽

Zafar Zaheer ◽

Mohsin Raza ◽

...

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Sensor Networks ◽

Energy Harvesting ◽

Internet Of Things ◽

Packet Loss ◽

Energy Efficient ◽

Cluster Head ◽

Wireless Sensor

Internet of things have emerged enough due to its applications in a wide range of fields such as governance, industry, healthcare, and smart environments (home, smart, cities, and so on). Internet of things–based networks connect smart devices ubiquitously. In such scenario, the role of wireless sensor networks becomes vital in order to enhance the ubiquity of the Internet of things devices with lower cost and easy deployment. The sensor nodes are limited in terms of energy storage, processing, and data storage capabilities, while their radio frequencies are very sensitive to noise and interference. These factors consequently threaten the energy consumption, lifetime, and throughput of network. One way to cope with energy consumption issue is energy harvesting techniques used in wireless sensor network–based Internet of things. However, some recent studies addressed the problems of clustering and routing in energy harvesting wireless sensor networks which either concentrate on energy efficiency or quality of service. There is a need of an adequate approach that can perform efficiently in terms of energy utilization as well as to ensure the quality of service. In this article, a novel protocol named energy-efficient multi-attribute-based clustering scheme (E2-MACH) is proposed which addresses the energy efficiency and communication reliability. It uses selection criteria of reliable cluster head based on a weighted function defined by multiple attributes such as link statistics, neighborhood density, current residual energy, and the rate of energy harvesting of nodes. The consideration of such parameters in cluster head selection helps to preserve the node’s energy and reduce its consumption by sending data over links possessing better signal-to-noise ratio and hence ensure minimum packet loss. The minimized packet loss ratio contributes toward enhanced network throughput, energy consumption, and lifetime with better service availability for Internet of things applications. A set of experiments using network simulator 2 revealed that our proposed approach outperforms the state-of-the-art low-energy adaptive clustering hierarchy and other recent protocols in terms of first-node death, overall energy consumption, and network throughput.

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