scholarly journals WSN and IoT Based Monitoring of Various Macronutrient Parameters and Disease Control of 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.

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.


Author(s):  
Rutvik Solanki

Abstract: Technological advancements such as the Internet of Things (IoT) and Artificial Intelligence (AI) are helping to boost the global agricultural sector as it is expected to grow by around seventy percent in the next two decades. There are sensor-based systems in place to keep track of the plants and the surrounding environment. This technology allows farmers to watch and control farm operations from afar, but it has a few limitations. For farmers, these technologies are prohibitively expensive and demand a high level of technological competence. Besides, Climate change has a significant impact on crops because increased temperatures and changes in precipitation patterns increase the likelihood of disease outbreaks, resulting in crop losses and potentially irreversible plant destruction. Because of recent advancements in IoT and Cloud Computing, new applications built on highly innovative and scalable service platforms are now being developed. The use of Internet of Things (IoT) solutions has enormous promise for improving the quality and safety of agricultural products. Precision farming's telemonitoring system relies heavily on Internet of Things (IoT) platforms; therefore, this article quickly reviews the most common IoT platforms used in precision agriculture, highlighting both their key benefits and drawbacks


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 27
Author(s):  
Franco Cicirelli ◽  
Antonio Guerrieri ◽  
Andrea Vinci

The Internet of Things (IoT) and related technologies are promising in terms of realizing pervasive and smart applications, which, in turn, have the potential to improve the quality of life of people living in a connected world [...]


2020 ◽  
Vol 63 (1) ◽  
pp. 57-67
Author(s):  
Steven R. Evett ◽  
Susan A. O’Shaughnessy ◽  
Manuel A. Andrade ◽  
William P. Kustas ◽  
M. C. Anderson ◽  
...  

Highlights.Precision agriculture (PA) applications in irrigation are stymied by lack of decision support systems.Modern PA relies on sensor systems and near real-time feedback for irrigation decision support and control.Sophisticated understanding of biophysics and biological systems now guides site-specific irrigation.The internet of things (IOT) enables new ways to increase yield per unit of water used and nutrient use efficiency. Keywords: Crop water productivity, Decision support system, Internet of things, Remote sensing, SCADA, Soil water content.


Author(s):  
Avinash Wilson J ◽  
Anusha P ◽  
Arun P

Aquaculture is one of the indispensable fields that helps in the chain of nourishment by feeding the world’s growing population, with 93.6 million metric tons to meet the world’s seafood needs by 2030. Internet of Things (IoT) or Internet of Everything is a blooming paradigm that changes the way of interaction with the environment, which has global attention of the industries in its rapid growth. Incorporating the IoT in the observation of seafood cultivating procedures can improve the productivity and supportability while upgrading the business with the next generation technologies. In Aquaculture, a handful of units are set-up in the deep seas, while the majority of the units are set inland. In inland offices, the ocean organisms are cultured in tanks that can change in volumes and materials. In such cases where profitable aquaculture is done, numerous endeavors are taken to augment the well-being of the sea creatures. Here, we are proposing an exceptionally beneficial aquaculture framework, designed for the aquafarming unit employments, for observing the quality of the water, controlling the system’s irregularity and providing real-time updates to the aqua-farmer. The Aqua-Farmer can surveille the units and control the water circulation remotely through a mobile application.


Author(s):  
Ashok V. Sutagundar ◽  
Daneshwari Hatti

This chapter gives overview of Internet of Things (IoT), various issues in IoT and describes data management in IoT. IoT is emerging technology which interconnects things through the Internet. Things present in the surrounding are communicated and control the objects without human intervention. IoT helps in performing two way communications among various heterogeneous devices by using cloud storage and cloud computing. IoT mainly concentrates on communication, so the vast amount of data generated from plenty of devices is to be managed as it consumes lot of memory. Data management includes data processing techniques such as data filtering, aggregation, compression, data archiving. Various processing techniques eliminate the irrelevant data, reduce communication overhead and enhance bandwidth, storage space and Quality of service.


2007 ◽  
Vol 15 (3) ◽  
Author(s):  
R. Vergaz ◽  
J. Pena ◽  
D. Barrios ◽  
I. Pérez ◽  
J. Torres

AbstractA suspended particle device is made by electrophoretic rod-shape particles suspended in an organic gel. These particles can twist and order with an applied voltage. The light crossing the material suffers more or less scattering according to that voltage. A commercial device is analyzed in this work. Several electrical models are tested, being the best one a series configuration including a shunt double layer capacitance and a Warburg element. Main parameter errors are below 2%, showing the quality of this new electrical model for this kind of devices. A quick method to improve the manufacturing process on-line is also proposed. Impedance measurements will be fitted to the selected electrical model, in order to check physical aspects such as charge diffusion lengths and response times. An electronic driver to obtain several levels of device transmission has been also developed, being its linearity demonstrated too. Colour changes are negligible for the main part of the bleaching process. All these features allow the use of this set in domotics application.


MicroRNA ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 41-48
Author(s):  
Supat Chamnanchanunt ◽  
Saovaros Svasti ◽  
Suthat Fucharoen ◽  
Tsukuru Umemura

Neglected Tropical Diseases (NTDs) are a common health problem and require an efficient campaign to be eradicated from tropical countries. Almost a million people die of NTDs every year in the world, and almost forty percent of the patients are under 20 years. Mass Drug Administration (MDA) is an effective tool for eradication of this health condition. However, a monitoring system is required to evaluate treatment-response and early detection of the re-emerging NTD. The relevance of current tests depends on good quality of the specimen. Thus, new molecular methods with high sensitivity and specificity are required. In this review, we focus on microRNAs (miRNAs) as biomarkers of NTDs through a narrative review on human research. We searched for reliable search engines using a systematical literature review algorithm and included studies that fit the criterion. Five NTDs (lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminthiases, and trachoma) were set as our target diseases. Later on, the data were extracted and classified as monitoring response and early detection. Four miRNAs were studied in filariasis as a monitoring response. There were 12 miRNAs related to onchocerciasis infection, and 6 miRNAs with schistosomiasis infection. Six miRNAs showed a link to soil-transmitted helminths. Only 3 miRNAs correlated with trachoma infection. In conclusion, circulating miR is a less invasive and promising approach to evaluate NTDs. Further field study may translate those candidate miRs to clinical application of the prevention and control of NTDs.


2018 ◽  
Vol 7 (04) ◽  
pp. 23808-23816
Author(s):  
Hashi Haris

The ideology of the Internet of things has emerged due to the consolidation of multiple technologies. IoT devices are a part of the larger concept of  home automation, also known as domotics. The application of Internet of Things in indoor environment monitoring and control has become a major area as people paying more attention to quality of environment. Intelligent solutions are proposed by studying key technologies of IoT. The system provides a new application for IoT.


Author(s):  
Ovidiu MARIAN ◽  
Ioan DROCAS ◽  
Ovidiu RANTA ◽  
Adrian MOLNAR ◽  
Mircea Mircea

Precision agriculture aims to exercise more control over a production system by recognizing variability and land management areas differently depending on a number of economic and environmental objectives.[1] The main objectives of the Culture Zonal Management system are: optimize production efficiency; optimizing quality of agricultural production; minimizing environmental impact of agriculture; minimize risks. To achieve objectives, precision agriculture uses several monitoring and control systems, of which one can remember: GIS (Geographical Information System) and GPS systems (Global Positioning System)


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