scholarly journals Importance and Responsibilities of Internet of Everything (IOE) For Monitoring and Controlling in Smart Agriculture Systems.

2020 ◽  
Vol 8 (6) ◽  
pp. 4905-4909

Nowadays, Internet Of Everything (IOE) plays an important role in varies sectors like Home Automation, Smart Cities, Education, Industry, Healthcare, smart grid, business, supply chain Management, technology and in Agriculture. The implementation IOE technology in the Agricultural system makes the Farmers to monitor their Agricultural Fields & crops and controls the things, remotely from their Mobile Phones. The various Wireless Sensor Network (WSN) can sense the Parameters and sends the measured and observed data to the farmers through IOE network. Accordingly, things can be controlled smartly. This helps in applications like soil moisture and nutrients Sensing, Reporting atmospheric condition, custom fertilizer profiles supported soil chemistry, Controlling water usage for optimal plant growth, it also include farm vehicle tracking, storage monitoring etc. This paper focuses on Importance and Responsibilities of IOE in agricultural Systems, those results in smart framing and will minimizing the losses in the Agriculture.

Through IoT the cities are envisioned into smart cities. The IoT technology is deployed essentially in prevalence of all the applications and is playing a compelling role in day to day liveliness. The Smart cities integrated with the IoT technology can intensify to unravel the contention of the people. The considerable issues in the cities such as smart home automation, smart parking, smart agriculture, smart street lights and smart environment monitoring are addressed in this article. The smart city is refined with the open source technology. The information accumulated from peculiar devices and sensors is received to the Thing speak server and the representatives will visualize the data and engage in required action to take place. The prime aspiration of this article is to emphasize the obstacles in the smart cities. The features of the smart city are enhanced and give a provision to utilize IoT technology


Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1564
Author(s):  
Kofi Akamani

Although the transition to industrial agriculture in the 20th century resulted in increased agricultural productivity and efficiency, the attainment of global food security continues to be elusive. Current and anticipated impacts of climate change on the agricultural sector are likely to exacerbate the incidence of food insecurity. In recent years, climate-smart agriculture has gained recognition as a mechanism that has the potential to contribute to the attainment of food security and also enhance climate change mitigation and adaptation. However, several conceptual and implementation shortfalls have limited the widespread adoption of this innovative agricultural system at the landscape scale. This manuscript argues for the use of ecosystem management as an overarching framework for the conceptualization and implementation of climate-smart agriculture. The manuscript focuses on clarifying the foundational assumptions and management goals, as well as the knowledge and institutional requirements of climate-smart agriculture using the principles of ecosystem management. Potential challenges that may be faced by the application of an ecosystem management approach to climate-smart agriculture are also discussed. Furthermore, the manuscript calls for a heightened focus on social equity in the transition toward an ecosystem-based approach to climate-smart agriculture. The US farm bill is used as an illustrative case study along with other examples drawn mostly from sub-Saharan Africa.


2021 ◽  
Vol 33 (20) ◽  
pp. 2170156
Author(s):  
Heyu Yin ◽  
Yunteng Cao ◽  
Benedetto Marelli ◽  
Xiangqun Zeng ◽  
Andrew J. Mason ◽  
...  

2020 ◽  
Vol 21 (12) ◽  
pp. 87-103
Author(s):  
Aline Eid ◽  
Xuanke He ◽  
Ryan Bahr ◽  
Tong-Hong Lin ◽  
Yepu Cui ◽  
...  

Author(s):  
Gayatri Sahu ◽  
Pragyan Paramita Rout ◽  
Suchismita Mohapatra ◽  
Sai Parasar Das ◽  
Poonam Preeti Pradhan

World population is increasing day by day and at the same time agriculture is threatened due to natural resource degradation and climate change. A growing global population and changing diets are driving up the demand for food. The food security challenge will only become more difficult, as the world will need to produce about 70 percent more food by 2050 to feed an estimated 9 billion people. Production stability, agricultural productivity, income and food security is negatively affected by changing climate. Therefore, agriculture must change according to present situation for meeting the need of food security and also withstanding under changing climatic situation. Agriculture is a prominent source as well as a sink of greenhouse gases (GHGs). So, there is a need to modify agricultural practices in a sustainable way to overcome these problems. Developing climate smart agriculture is thus crucial to achieving future food security and climate change goals. It helps the agricultural system to resist damage and recover quickly by adaptation and mitigation strategies. Sustainable Intensification is an essential means of adapting to climate change, also resulting in lower emissions per unit of output. With its emphasis on improving risk management, information flows and local institutions to support adaptive capacity, CSA provides the foundations for incentivizing and enabling intensification. Since climate smart agriculture is defined along three pillars (productivity increases, building resilience and adapting, and GHG emission reduction), key concepts such as productivity, resilience, vulnerability and carbon sequestration provide indicators for future empirical measurements of the climate smart agriculture concept.


Author(s):  
Dharm Singh Jat ◽  
Anton S. Limbo ◽  
Charu Singh

By combining the different monitoring and automation techniques available today, we can develop cutting-edge internet of things (IoT) systems that can support sustainable development through smart agriculture. Systems are able to monitor the farming areas and react to the parameters being monitored on their own without the presence of human beings. This automation can result in a more precise way of maintaining the aspects that affect the growth of plants, leading to an increase in the food production on farmlands. This chapter focuses on IOT for automation in smart agriculture and provides a pathway to develop automation system in the smart environment.


2018 ◽  
Vol 7 (2.32) ◽  
pp. 348
Author(s):  
Prof. V.Srikanth ◽  
H Suchetha ◽  
K Pravllika

Internet of Things (IoT)is the network of home appliances, vehicles and physical devices, which enables the objects to connect and exchange of the data. By using these components IoT supports to develop numerous services in various domains, such as smart cities and smart homes.These components can interact with other components by enabling security such asproxies, data collection, data sharing and other activities in the context of service providence. Until now various research works have studied on these securityissues ofIoT by validating their claim.In this study we are developing a framework, which provides security to the home as well as to operate the appliances in the home using smart technology.For entering into the house using a biometric system, which uses authentication and digital signature to access.We have used biometric system to overcome problems we are facing. In this project there are different sensors such as water level sensor, light sensor, temperature sensor, gas sensor for operation of different appliances in the house.  


Author(s):  
Amrutha Kulkarni

The smart agriculture is the active process which helps farmers in getting overall yield. Many factors play a vital role in getting yield such as moisture /humidity of the soil, temperature, carbon monoxide on top layer of the soil. This project is undertaken in order to help farmers in increasing the quantity of product and gain. The sensors such as temperature, moisture, carbon and etc. Senses and provides the values and these measured values are then passed through the node where LoRa module and Arduino is present. These data are stored in the cloud and utilized whenever required. Simultaneously a water pump in connected and with the help of measured values, depending on the crop, the water is pumped. Water pumping is mainly dependent on the quantity of CO present on the top layer of the soil. If it is in excess amount, then water is overflowed such that CO on top layer of the soil which is not necessary will be removed. Parallelly the measured values are stored in cloud and utilized by soil testing centers for clearing the issues of the farmer. This helps in water usage reduction up to approximately 50% and helps farmer get good yield and profit.


Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1464 ◽  
Author(s):  
Ioana Marcu ◽  
George Suciu ◽  
Cristina Bălăceanu ◽  
Alexandru Vulpe ◽  
Ana-Maria Drăgulinescu

The Internet of Things (IoT) concept has met requirements for security and reliability in domains like automotive industry, food industry, as well as precision agriculture. Furthermore, System of Systems (SoS) expands the use of local clouds for the evolution of integration and communication technologies. SoS devices need to ensure Quality of Service (QoS) capabilities including service-oriented management and different QoS characteristics monitoring. Smart applications depend on information quality since they are driven by processes which require communication robustness and enough bandwidth. Interconnectivity and interoperability facilities among different smart devices can be achieved using Arrowhead Framework technology via its core systems and services. Arrowhead Framework is targeting smart IoT devices with wide applicability areas including smart building, smart energy, smart cities, smart agriculture, etc. The advantages of Arrowhead Framework can be underlined by parameters such as transmission speed, latency, security, etc. This paper presents a survey of Arrowhead Framework in IoT/SoS dedicated architectures for smart cities and smart agriculture developed around smart cities, aiming to outline its significant impact on the global performances. The advantages of Arrowhead Framework technology are emphasized by analysis of several smart cities use-cases and a novel architecture for a telemetry system that will enable the use of Arrowhead technology in smart agriculture area is introduced and detailed by authors.


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