Smart Farming Prediction System Embedded with the Internet of Things

Author(s):  
R. Mallikka ◽  
S. S. Manikandasaran ◽  
K. S. Karthick
Author(s):  
Sarita Tripathy ◽  
Shaswati Patra

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.


Author(s):  
Lamiya Yousuf AlSarmi ◽  
Puttaswamy M. R.

  The world strives to exploit the fourth revolution in technology, including the great developments such as the Internet of Things (IoT) to improve life. IoT technology is used in many areas of life from industry health and environment to personal life. Agriculture is, therefore, one of the key sectors of life that have benefited from modern technology such as the use of drones for crop assessment, irrigation, monitoring and mapping, big data in crop analysis for companies and countries. The Internet of Things was not far off as it was introduced to monitor plant irrigation. Increased awareness of the environment and the exploitation of small and semi-enclosed areas in agriculture and turning them into green areas. The IoT technology converts this process into intelligent and dynamic based on wireless sensing with the help of the device programmed by the Arduino. This data is collected in Power BI what to help in the future development of the device and analysis of the data. The device senses soil moisture and temperature and connects it to its cloud platform for optimal management of future planting. The device senses soil moisture and temperature and connects it to its cloud power BI platform for optimal management of future planting. This technology helps reduce agricultural costs and labor. Therefore, this paper proposes an intelligent system with the help of the Internet of Things in the management of smart farming in apartment building with the help of Arduino.


Author(s):  
K. Vikranth ◽  
Krishna Prasad K.

India is a country that depends on agriculture, where about half the population relies heavily on agriculture for their livelihood. However, most of the practices undertaken in the agricultural process are not for profit and yield favorable. It should upgrade with current technologies to boost seed quality, check soil infertility, check the water level, environmental changes, and market price prediction, and achieve in agriculture sensitivity of faults and background understanding. The advancement in technology and developments is seen as a significant aspect in their financial development and agricultural production growth. The Internet of Things (IoT), Wireless Sensor Networks (WSN), and data analytics accomplish these upgrades. These technologies help in providing solutions to agricultural issues such as resource optimization, agricultural land monitoring, and decision-making support, awareness of the crop, land, weather, and market conditions for farmers. Smart agriculture is based on data from sensors, data from cloud platform storage and data from databases, all three concepts need to be implemented. The data are collected from different sensors and stored in a cloud-based back end support, which is then analyzed using proper analytics techniques, and then the relevant information is transferred to a user interface, which naturally supported the decision to conclude. The IoT applications mainly use sensors to monitor the situation, which collects a large size of data every time, so in the case of the Internet of Things (IoT) application, sensors contribute more. Data analytics requires data storage, data aggregation, data processing and data extraction. To retrieve data and information from database, we must use data mining techniques. It acts a significant position in the selection-making process on several agricultural issues. The eventual objective of data mining is to acquire information form data transform it for some advanced use into a unique human-comprehensible format. Big data's role in Agriculture affords prospect to increase the farmers' economic gain by undergoing a digital revolution in this aspect that we examine with precision. This paper includes reviewing a summary of some of the conference papers, journals, and books that have been going in favor of smart agriculture. The type of data required for smart farming system are analyzed and the architecture and schematic diagram of a proposed intelligent farming system are included. It also involves implementing different components of the smart farming system and integrating IoT and data analytics in the smart farming system. Based on the review, research gap, research agendas to carry out further research are identified.


Author(s):  
Muralidhar Kurni ◽  
Somasena Reddy K.

Connected devices have access to every part of our lives with the increasing implementation of the internet of things (IoT), from home automation, health and fitness, automobile, logistics, to smart cities, and industrial IoT. Therefore, it is only natural that IoT, connected devices, and automation find their application in agriculture, and as such, greatly enhance almost every facet of it. In recent decades, farming has undergone a variety of technological changes, becoming more industrialized and powered by technology. Farmers have gained effective control and efficiency over the process of raising livestock and growing crops through the use of various smart farming devices. Within this chapter, the authors discuss and analyze the advantages of using IoT within agriculture. They present the IoT system architecture to allow smart farming. This chapter also covers the advantages of integrating the blockchain into the agricultural field. Case studies are included in the end for your reference.


2018 ◽  
Vol 6 (3-4) ◽  
pp. 311-318 ◽  
Author(s):  
Santosh Sam Koshy ◽  
Venkata Srikanth Sunnam ◽  
Prateek Rajgarhia ◽  
Kathiresan Chinnusamy ◽  
Durga Prasad Ravulapalli ◽  
...  

Author(s):  
Dr. Sivaganesan D.

The advancements in the technologies and the increase in the digital miniaturization day by day are causing devices to become smarter and smarter and the emergence of the internet of things and the cloud has made things even better with insightful suggestions for organization as well as the way the people work and lead their life. The limitations in the cloud paradigm in terms of processing complexity, the latency in the service provisioning and improper resource scheduling, remains as a reason leading to shifting of applications from cloud to edge. More over the emergence of the artificial intelligence in the edge computing has turned out to be center of attention as it improves the speed and the range of the IOT applications. The paper also puts forth the design of the AI-enabled Edge computing for developing a Smart Farming.


Author(s):  
Taranjeet Singh ◽  
Devendra Singh ◽  
S. S. Bedi

A device composed of actuators is the internet of things. The internet of things (IoT) should be used for enhancing agricultural efficiency in precision agriculture. The bedrock of the Indian economy, agriculture, is adding to the country's total economic performance. Nevertheless, the efficiency contrasts with world norms. Regardless of the usage of minimum agricultural advancements and farmers from villages today for other productive enterprises, regions move to a metropolitan region, and they cannot rely on agriculture. Farming creativity is not new, but smart farming is expected to be pushed to the following internet level by IoT, a unit made up of actuators or sensors. This chapter demonstrates IoT's role in agriculture and its use in identifying plant diseases through leaf images. Several researchers' works in the domain are also outlined, and future perspectives of IoT in recognizing plant diseases are discussed briefly.


Sign in / Sign up

Export Citation Format

Share Document