Farming Automation

Author(s):  
Kavita Srivastava

Farming automation requires a whole lot of new skills and use of technology for achieving a substantial increase in the crop yield. Smart farming enables the use of technology in tracking, monitoring, and analyzing various farming operations. Internet of things (IoT) platform is formed with sensors and actuators, cameras and drones, telecommunication technologies, edge devices, cloud servers, and specialized hardware and software. This chapter will discuss the available hardware and software technology elements that can be used in farm automation. The chapter is comprised of four sections. The first section provides an overview of precision agriculture and smart farming. The second section provides the literature review of existing research. The third section describes IoT techniques, sensors, and cloud and edge computing solutions for the implementation of smart farming. The fourth section provides a few case studies of the application of IoT in smart farming. Specifically, the chapter will describe the IoT platform solution for complete farm automation.

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.


Fig plants are gaining popularity among farmers across Malaysia, mainly influenced by the high demands for fresh fig fruits and a fairly higher market price for the fruit. Current practices in farm fields are still based on observation and scheduling approach without any quantitative approaches which provide a precise way of determining the crucial elements such as irrigation and fertilization needs. This paper explains the design and development of smart farming system with sensing technology deployment for precision agriculture and the Internet of Things (IoT) approach to get farmers connected to their farm. Raspberry Pi 3 Model B acts as a brain of the entire system, delivering its functionality in performing monitoring and controlling tasks. Database is implemented by using ThingSpeak IoT cloud platform while for mobile application, this project is using Swift 4 programming language within Xcode IDE in implementing the iOS user interface features. The evaluation and validation result shows the microcontrollers and all embedded sensors associated to them are successfully executing their tasks in performing the surrounding humidity, irrigation and fertilization control duties. The developed system also capable in tracing the surrounding temperature and humidity, soil humidity and pH, and fertilizer EC value changes. Assistance in mobile device application implementation and ThingSpeak cloud database deployment in this project also get the farmers connected to their farm. Although this project has been completed successfully, however there are several areas which can be further improved in order to make the entire system more efficient and useful to the user.


Author(s):  
Rana Gill

The agricultural sector is of great importance to fulfill food resources need of the country. Precision Agriculture (PA) with Internet of Things and Wireless Sensor Network is a transformation from traditional farming to smart farming. Wireless sensor networks and Internet of Things are considered as drivers to develop system which can change agriculture sector from manual to automatic. Advancement in the technology have pushed the growth of precision agriculture to very large extent despite of several challenges faced in this area. System for precision agriculture relies on hardware components mainly wireless sensors which act as a source for gathering of real time data. Depending upon the real time date retrieved by sensors automation in agriculture is done by adopting decision-based system. With Precision agriculture productivity is optimized by maintaining sustaniability as crop receives what is acutual requirement on the basis of new techniques and software platforms. This review article includes Inernet of Things (IoT), Wireless Sensors, Wireless communication and challenges faced in this area.


Author(s):  
Rahul Singh Chowhan ◽  
Purva Dayya

Modern technologies are revolutionizing the way humans have lived. The world's population is expected to reach 9.6 billion by year 2050 and to serve this much population, the agricultural industries and layman farmers need to embrace IoT and e-agriculture or ICT in agriculture. Feeding the global population is the biggest problem of the world. The terminology has advanced from IIoT (Industrial Internet of Things), IoFT (Internet of Farm Things), IoSFT (Internet of Smart Farming Things), etc. The agriculture industries are open for ideas, advances, and technically trained workforce to help sustain ever increasing needs of food and allocate better choices of resources. Smart farming is less labor intensive and more capital intensive. Smart farming is furthering the Third Green Revolution around the globe by using various ICT technologies in agriculture.


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.


2020 ◽  
Vol 17 (1) ◽  
pp. 172-176
Author(s):  
Shivam Kumar Verma ◽  
M. Rajesh ◽  
Rajiv Vincent

In India, 47% of people are involved in the agriculture sector. A large part of the population of India depends upon the agriculture. In this work, we assemble a smart farming field screening system that helps farmers to take information about their field in the sense soil moisture, humidity and temperature of the environment. And it allows smart irrigation to the field and gives a better result for doing agriculture and provide better profit for good crop production. In our work, we can use a different type of sensors and some wireless technologies like the Internet of things (IoT) and an android application to provide a smart platform to farmers to read data from the sensors with the help of microcontroller and giving instructions in term of the graphical interface. Hence, we can use an IoT platform that gives the primary thing to access anywhere by using the internet. The Wireless sensor network consists of sensors like moisture, humidity and temperature, and Infrared sensor. Using Bluetooth and GSM module for the clustering with sensors and other microcontroller devices are connected to the solar panel or battery for the power supply. In this paper, we design an IoT platform for doing farming in an efficient way. That helps the farmers for real-time monitoring regarding their fields.


2020 ◽  
Vol 10 (5) ◽  
pp. 59-75
Author(s):  
JAROSLAV KLÁTIK ◽  
◽  
LIBOR KLIMEK

The work deals with implementation of electronic monitoring of sentenced persons in the Slovak Republic. It is divided into eight sections. The first section introduces restorative justice as a prerequisite of electronic monitoring in criminal proceedings. While the second section points out at the absence of legal regulation of electronic monitoring of sentenced persons at European level, the third section points out at recommendations of the Council of Europe addressed to European States. The fourth section analyses relevant alternative punishments in Slovak criminal justice. The fifth section introduces early beginnings of implementation of concerned system - the pilot project “Electronic Personnel Monitoring System” of the Ministry of Justice of the Slovak Republic. While the sixth section is focused on Slovak national law regulating electronic monitoring of sentenced persons - the Act No. 78/2015 Coll. on Control of the Enforcement of Certain Decisions by Technical Instruments, the seventh section is focused on further amendments of Slovak national law - namely the Act No. 321/2018 Coll. and the Act No. 214/2019 Coll. The last eight section introduces costs of system implementation and its operation.


Author(s):  
Herawati M

This study aims to use information technology, uncertainty or moderation duties and interactions between task uncertainty with the use of information technology to end user computing satisfaction. In this study used 70 respondents who actively use computers and working with several companies banking on the city of Padang. The data used are the primary data obtained through questionnaires. The study used three types of variables, the first is the independent variable, namely the utilization of information technology, both moderating variables, namely the uncertainty of the task, the third is the dependent variable is satisfaction of end user computing. The stages of hypothesis testing is done by using a regression model of moderating and statistical t-test. Based on the results of testing the first hypothesis (HI) was found to significantly influence the utilization of information technology to the satisfaction of end user computing. The second hypothesis (H2) testing results found that task uncertainty did not significantly influence the end user computing satisfaction. The third hypothesis (H3) testing found that the interaction or moderation between the use of technology with task uncertainty no significant effect on end user computing satisfaction.


Author(s):  
Agustín Rayo

This article is divided into four sections. The first two identify different logicist theses, and show that their truth-values can be established given minimal assumptions. The third section sets forth a notion of “content-recarving” as a possible constraint on logicist theses. The fourth section—which is largely independent from the rest of the article—is a discussion of “neologicism.”


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