scholarly journals Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

2020 ◽  
Vol 41 (03) ◽  
Author(s):  
A. Narmilan ◽  
N. Puvanitha
Keyword(s):  
Internet Of Things ◽  
Environmental Degradation ◽  
Precision Agriculture ◽  
Agricultural Practices ◽  
Farming System ◽  
Agricultural Pollution ◽  
The Internet ◽  
Agricultural Field ◽  
Mitigation Techniques ◽  
The Internet Of Things

The widespread of Information and Communication Technology (ICT) in the past decades brought numerous advantages to many individuals and most of the organizations everywhere in the world. In the 21st century, the most significant technology is the Internet of Things (IoTs) which has developed rapidly covering most of applications in the health, civil, military and agriculture sectors also. Precision Agriculture (PA), as the combination of information, communication and control technologies in agronomic practices, is emerging time by time. Also, precision agriculture is considered a smart farming system on the basis of modern technologies to regulate, examine and manage changes inside an agricultural field for cost-effectiveness, sustainability and optimal protection of environment. Meanwhile, agricultural practices are contributing to environmental pollution due to poor management which is further disturbing food security, health and climate. One of the best strategies to overcome this challenge can be introducing the deployment of precision technologies for the development of agricultural productivity while reducing the environmental degradation. Therefore, the key objective of this review was to discuss the mitigation techniques for agricultural pollution and enhance the agricultural production by smart technologies like IoTs. This paper summarizes the main categories of IoTs, Precision Agriculture, agricultural pollution and finally, mitigation practices on environmental degradation.

scholarly journals An Application of the Internet of Things on Sustainable Aquaculture System

2021 ◽  
Vol 16 (2) ◽  
pp. 061-065
Author(s):  
SANTHOSH K
Keyword(s):  
Internet Of Things ◽  
Fish Farming ◽  
Farming System ◽  
Food Sources ◽  
The Internet ◽  
Additional Energy ◽  
Living Space ◽  
Course Of Action ◽  
Calcium Iron ◽  
The Internet Of Things

Hydroponics is one of the human significant food sources. This paper proposed the model of the system, Feasible Fish-Farming System (SFFS), which can make the water cultivating framework more practical, employing applying the Internet of things (IoT) to lessen the need for energy for controlling the climate. Little freshwater fish species (SFFs) (length <25 cm) are exceptionally plentiful in nutrient A, calcium, iron and so on and consequently can add to social wellbeing through a supplement to country networks. Under the pressing factor of broad current rural practices and aimless collecting, loads of SFFs are step by step declining, and their environments and favourable places are likewise being crumbled at a quicker rate. A superior protectionist approach could be the carp-SFFS combination which will decrease aimless mass catch fishing of SFFs and will guarantee the preservation of normal SFFs stocks in their territories giving financial advantage to partners. Various investigations have effectively showed an example of overcoming adversity of SFF polyculture through carp—SFFs joining. This creation cum preservation practice prompts manageability—a superior term in the fishery is 'social fishery'. The part that needs consideration is the taking care of nature of SFFs to comprehend inside and between species (with carps) food apportioning and living space inclination as better culture cum conservational approach. Exploration in hydroponics is a contribution to increment settled creation. In the last decade, different researchers have supported attempts that came about in advancing current creation advances that have altered homestead creation. Fish developing is having the chance to be a champion among the most remunerating ambitious activities on account of the low advancement, insignificant exertion course of action-adventure and the 3 to half-year gathering cycles. IoT advancements have altered homestead creation in the country. In this paper, we propose an idea to distinguish far off observing the fish cultivating framework by utilizing the different sensors to diminish the dangers. In this paper, we utilize different sensors like pH worth, temperature and level sensors. By utilizing these sensors, all the work is mechanized, and it will likewise be not challenging to screen the fish cultivating distantly from other areas. The SFFS coordinates the sun-based homestead and fish-ranch to lessen the additional energy input. Furthermore, the lighting of LEDs is utilized to help the photosynthesis in the evening. This way is more energy-proficient than the customary siphoning. Besides, this model shows the subjective accessibility of SFFS.

IoT-Based Precision Agriculture System

2020 ◽  
pp. 1-7
Author(s):  
Sarita Tripathy ◽  
Shaswati Patra
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Modern Method ◽  
The Internet ◽  
Huge Number ◽  
Traditional Farming ◽  
Smart Farming ◽  
Different Types ◽  
Farm Vehicles ◽  
The Internet Of Things

The huge number of items associated with web is known as the internet of things. It is associated with worldwide data consisting of various components and different types of gadgets, sensors, and software, and a large variety of other instruments. A large number of applications that are required in the field of agriculture should implement methods that should be realistic and reliable. Precision agriculture practices in farming are more efficient than traditional farming techniques. Precision farming simultaneously analyzes data along with generating it by the use of sensors. The application areas include tracking of farm vehicles, monitoring of the livestock, observation of field, and monitoring of storage. This type of system is already being accepted and adopted in many countries. The modern method of smart farming has started utilizing the IoT for better and faster yield of crops. This chapter gives a review of the various IoT techniques used in smart farming.

scholarly journals Impact of Internet of Things (IoT) in Smart Agriculture

2021 ◽  
Author(s):  
O. Vishali Priya ◽  
R. Sudha
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Agricultural Field ◽  
Knowledge Processing ◽  
Computing Power ◽  
Crop Monitoring ◽  
The World ◽  
Instruments And Techniques ◽  
Smart Agriculture ◽  
The Internet Of Things

In today’s world, technology is constantly evolving; various instruments and techniques are available in the agricultural field. And within the agrarian division, the IoT preferences are Knowledge processing. With the help of introduced sensors, all information can be gathered. The reduction of risks, the mechanization of industry, the enhancement of production, the inspection of livestock, the monitoring of environment conditions, the roboticization of greenhouses, and crop monitoring Nearly every sector, like smart agriculture, has been modified by Internet-of-Things (IoT)-based technology, which has shifted the industry from factual to quantitative approaches. The ideas help to link real devices that are equipped with sensors, actuators, and computing power, allowing them to collaborate on a task while staying connected to the Internet, dubbed the “Internet of Things” (IoT). According to the World Telecommunication Union’s Worldwide Guidelines Operation, the Internet of Things (IoT) is a set of sensors, computers, software, and other devices that are connected to the Internet. The paper is highly susceptible to the consequences of its smart agriculture breakthrough.

scholarly journals Digitalization of Technological Processes of Crop Production in Russia

2019 ◽  
Vol 13 (1) ◽  
pp. 14-20 ◽  
Author(s):  
V. M. Korotchenya ◽  
G. I. Lichman ◽  
I. G. Smirnov
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Precision Agriculture ◽  
Crop Production ◽  
Agricultural Sector ◽  
Integral Approach ◽  
The Internet ◽  
Digital Agriculture ◽  
The Internet Of Things ◽  
And Robotics

Currently, the influence of program documents on digital agriculture development is rather great in our country. Within the framework of the European Association of Agricultural Mechanical Engineering, a relevant definition of agriculture 4.0 has been elaborated and introduced.Research purpose: offering general recommendations on the digitalization of agriculture in RussiaMaterials and methods. The authors make use of the normative approach: the core of digital agriculture is compared with the current state of the agricultural sector in Russia.Results and discussion. The analysis has found that digital agriculture (agriculture 4.0 and 5.0) is based on developed mechanized technologies (agriculture 2.0), precision agriculture technologies (agriculture 3.0), the use of such digital technologies and technical means as the Internet of things, artificial intelligence, and robotics. The success of introducing digital agriculture depends on the success of all the three levels of the system. However, the problem of the lack of agricultural machinery indicates insufficient development of mechanized technologies;  poor implementation of precision agriculture technologies means the lack of experience of using these technologies by the majority of farms in our country; an insufficient number of leading Russian IT companies (such as Amazon, Apple, Google, IBM, Intel, Microsoft etc.) weakens the country’s capacity in making a breakthrough in the development of the Internet of things, artificial intelligence, and robotics.Conclusions.The authors have identified the need to form scientific approaches to the digitization of technological operations used in the cultivation of agricultural crops and classified precision agriculture technologies. They have underlined that the digitization of agricultural production in Russia must be carried out along with intensified mechanization (energy saturation); also, to introduce technologies of precision agriculture and digital agriculture, it is necessary to organize state-funded centers for training farmers in the use of these technologies. Finally, it is necessary to take measures to strengthen the development of the IT sphere, as well as formulate an integral approach to the problem of digitalization.

Bibliometric Analysis of the Use of the Internet of Things in Precision Agriculture

2021 ◽  
Author(s):  
Maria de Jesus Diaz Lara ◽  
Jessica Garizurieta Bernabe ◽  
Ruben Alvaro Gonzalez Benitez ◽  
Jazmin Morales Toxqui ◽  
Monica Karel Huerta
Keyword(s):  
Internet Of Things ◽  
Bibliometric Analysis ◽  
Precision Agriculture ◽  
The Internet ◽  
Use Of The Internet ◽  
The Internet Of Things

Development of an application to make knowledge available to the farmer: Detection of the most suitable crops for a more sustainable agriculture

2020 ◽  
Vol 12 (5) ◽  
pp. 419-432
Author(s):  
Jose M. Cadenas ◽  
M. Carmen Garrido ◽  
Raquel Martinez-España
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Fuzzy Model ◽  
The Internet ◽  
Climate Conditions ◽  
Clustering Model ◽  
Study Case ◽  
Using Data ◽  
Crop Sustainability ◽  
The Internet Of Things

Precision agriculture has different strategies to collect, process and analyze different types and nature data to be able to make decisions that improve the efficiency, productivity, quality, profitability and sustainability of agricultural production. Specifically, crop sustainability is directly related to reducing costs for farmers and minimizing environmental impact. In this paper, an application to help in the decision making about the most convenient type of crop to plant in a certain zone is developed, taking into account the climate conditions of that zone, in order to make a sustainable crop. This application is integrated within the Internet of Things system, which can be adapted and parameterized for any kind of crop and zone. The Internet of Things system components are described in detail and a fuzzy clustering model is proposed for the system’s intelligent module. This fuzzy model focuses on making a zone grouping (management zones), taking into account the zone climate conditions. The model manages fuzzy data, which allows us more extensive information and a more natural data treatment. A real study case of the proposed application is presented using data from the Region of Murcia (Spain). In this study case, the entire deployed Internet of Things system has been described, the fuzzy model to group similar areas in terms of meteorology has been validated and evaluated and the recommendation module has been implemented, taking into account the actual production data and the needed resources for the crops in the Region of Murcia (Spain).

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