Advances In Machine Learning For Agricultural Robots

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Advances In Machine Learning For Agricultural Robots

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Author : Dr Polina Kurtser
language : en
Publisher: Burleigh Dodds Science Publishing
Release Date : 2024-03-25

Advances In Machine Learning For Agricultural Robots written by Dr Polina Kurtser and has been published by Burleigh Dodds Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Technology & Engineering categories.

This chapter presents a survey of the advances in using machine learning (ML) algorithms for agricultural robotics. The development of ML algorithms in the last decade has been astounding, and there has therefore been a rapid increase in the widespread deployment of ML algorithms in many domains, such as agricultural robotics. However, there are also major challenges to be overcome in ML for agri-robotics, due to the unavoidable complexity and variability of the operating environments and the difficulties in accessing the required quantities of relevant training data. This chapter presents an overview of the usage of ML for agri-robotics and discusses the use of ML for data analysis and decision-making for perception and navigation. It outlines the main trends of the last decade in employed algorithms and available data. We then discuss the challenges the field is facing and ways to overcome these challenges.

Advances In Agri Food Robotics

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Author : Professor Eldert van Henten
language : en
Publisher: Burleigh Dodds Science Publishing
Release Date : 2024-03-26

Advances In Agri Food Robotics written by Professor Eldert van Henten and has been published by Burleigh Dodds Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Technology & Engineering categories.

Provides a comprehensive review of the recent advances in agricultural robotics, such as advances in sensing and perception, as well as technologies and actuation Addresses our understanding of the social, ethical and economic aspects of agricultural robotics, including the regulatory frameworks and standards required to authorise their adoption Provides examples of the practical application of agricultural robotics in an array of agricultural settings, from greenhouse and orchard cultivation, to meat/fish processing

Agriculture 5 0

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Author : Latief Ahmad
language : en
Publisher: CRC Press
Release Date : 2021-03-24

Agriculture 5 0 written by Latief Ahmad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-24 with Science categories.

Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.

Advances In Grasping Techniques In Agricultural Robots

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Author : Dr George Kantor
language : en
Publisher: Burleigh Dodds Science Publishing
Release Date : 2024-03-25

Advances In Grasping Techniques In Agricultural Robots written by Dr George Kantor and has been published by Burleigh Dodds Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-25 with Technology & Engineering categories.

This chapter provides an overview of the state of the art for grasping and manipulation in agricultural settings. It begins with a review of the robotic mechanisms commonly used for manipulation and grasping. The discussion then addresses issues associated with the integration of different technologies required to create fieldable manipulation systems, namely perception and control. Finally, a review of some specific application areas being addressed is provided, including harvest, pruning and food handling. The chapter is intended to serve as an useful starting point for researchers and practitioners interested in learning more about the challenges and associated approaches being used for grasping and manipulation for agricultural applications.

Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture

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Author : Muhammad Fazal Ijaz
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-19

Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture written by Muhammad Fazal Ijaz and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Science categories.

Computer Vision And Machine Learning In Agriculture

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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer Nature
Release Date : 2021-03-23

Computer Vision And Machine Learning In Agriculture written by Mohammad Shorif Uddin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-23 with Technology & Engineering categories.

This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems. Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition.

Advances In Robots Technologies And Implementations

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Author : Dina Darwish
language : en
Publisher: Deep Science Publishing
Release Date :

Advances In Robots Technologies And Implementations written by Dina Darwish and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.

In Czech, the word "robota" means "serf work," which is where the name "robot" originates from a drama written by Karel Čapek in 1920, in which machines take control of the world, is credited for popularizing the term "robot." However, the rethinking of human life has always been something that mankind has been interested in. Ever since the beginning of the 20th century, there have been several attempts to rebuild a human person, and there are stories that tell of those who have been successful before. Paracelsus, an alchemist who lived in the 16th century, is credited with having one of the most well-known theories. He asserted that a miniature human-like entity, which he referred to as a homunculus, could be made in a flask by doing nothing more than employing chemical processes. In the latter part of the 16th century, the term "golem" became well known to the general population. In accordance with a traditional tale, the golem was constructed out of clay and had the ability to provide assistance to anyone if a unique paper was put into either its mouth or its forehead. According to the narrative, the golem ultimately met its creator and eventually turned against him. This occurred after some time had passed. When one considers the history of robotics, one discovers that there is a widespread interest in endowing robots with humanity or elements that are characteristic of humans. In general, there are primary criteria, which are as follows: - The robot must be able to resemble a human being in some manner (in terms of look, thinking, and personality, for example). - The robot needs to be superior in some way (that is, it needs to be stronger, smarter, etc.). This means that the designer of the robot must have full control over the robot themselves. When it came to the history of robotics, a significant turning point occurred when robots that were more powerful than people were created. It was about the year 1769 when the first industrial revolution began, and it was around this time that machines began to supplant the human input to labor. During that time period, the primary objective was to increase the number of products as well as decrease the amount of time and money spent on manufacturing, all without involving any human intervention. At that point in time, automation emerged as the most common notion. Automation allows for the completion of several procedures without the need for any involvement from a human being. People were forced to come up with new methods of working and living as a result of humans being replaced by robots. Machines are able to operate around the clock because they do not experience fatigue in the same way that people do. Automation led to a reduction in both the likelihood of making mistakes and the quantity of waste produced. In addition, robots are distinguished by their regulated precision and their enhanced efficiency. It was not possible to have access to computer technology in the 1800s. Nevertheless, mankind was able to construct gigantic machines that were capable of carrying out difficult jobs. Following the year 1950, there has been a significant advancement in the field of robots. The discovery of the moon's surface by the first mobile robot that was operated remotely, which occurred around the year 1970, is another significant event in the history of robotics. Later on, in 1986, Honda initiated a project with the intention of developing humanoid robots that have a similar appearance to that of humans. Robots began to appear in an increasing number of industries, including healthcare, manufacturing, and logistics, as the progress of the technology continued. In spite of the fact that the development of robots is still in progress, we can already find robots in our everyday life. For example, robots can be found in the household (in the form of vacuum cleaners), in the office (in the form of assembly robots), and in the medical field (in the form of social robots in patient therapy or surgical robots). This is the fourth industrial revolution that humanity is now experiencing. This revolution is integrating the most cutting-edge developing technologies, such as robots, internet of things, fifth-generation wireless networks, artificial intelligence, and many others, in order to propel the industry to new heights. There are several categories that may be applied to robots. We will examine the following four primary approaches to classification: Size, Application domain, Purpose, Number of users per application. When considering dimensions, the following categories can be distinguished: - Nanorobots, also known as nanobots, are constructed out of nanomaterials and can range in size from 0.1 to 10 micrometers. To give you an idea of how little these nanorobots are, a human red blood cell is around 5-10 micrometers in size. The notion of nanobots is now in the preliminary phases of study; primarily, it is being considered for its potential application in the medical field. It will take many more years of laborious effort to make nanobots a viable answer. Injecting nanorobots into the body of a patient in order to diagnose and treat illnesses is one of the potential applications of nanorobots. -Microrobots, millibots, and minibots are all examples of robots that are significantly bigger than nanobots. These robots are already in existence. Microbots, millibots, and minibots are correspondingly smaller than one millimeter, one centimeter, and ten centimeters. RoboBee, which has a wingspan of 1.2 centimeters and weighs 80 milligrams, is the smallest flying robot that has ever been created. A remote control can be used to operate the robot, and its wings have the ability to flap 120 times per second. The purpose of such a little apparatus is to create a flying swarm for the purpose of artificial pollination or search and rescue operations. - Robots that are little and medium-sized, these robots are often less than 100 centimeters (small) or almost the same size as a human being (mid-sized, 100–200 centimeters). This is the size of the majority of robots that are used in homes, toys, and social robots, humanoids (robots that have an appearance that is comparable to that of humans; the Transformers from comic books and movies are a typical example), and digital personal assistants. The majority of the time, whether in movies or in real life, we encounter and interact with robots that are of both small and medium size. - Huge robots: these machines are far larger than we are. Some humanoid robots are rather enormous, reaching heights of up to eight to ten meters. However, humanoid big robots are often constructed for the aim of study or just for the goal of having fun. As a matter of fact, the majority of huge robots do not resemble people; rather, they are designed to automate various tasks, such as manufacturing, construction, agriculture, autonomous driving, and navigation. Robots may also be classified according to the application domain in which they are used, with personal robots and industrial robots being the two categories that can be achieved. - Robots that are meant to be beneficial for individuals or families are employed in our everyday lives and are referred to as personal robots. Personal robots can be operated by those who are not technically savvy to carry out duties that are repetitive and possibly monotonous in order to save time or to entertain us. Among the various types of personal robots, the most frequent types are social robots, digital personal assistants, toys, and household robots. - Robots designed for use in manufacturing, construction, or agriculture, for example, are built to withstand harsh conditions and are designed to carry out certain duties in accordance with a predetermined set of instructions. Assembly, disassembly, mounting, screw tightening, welding, painting, visual inspection, and other applications are just some of the many uses for this tool. There is one particular activity that industrial robots excel at, and that is working as machines that are quick, accurate, and dependable. We would not be able to achieve the degree of technical growth that we have today if it were not for industrial robots. The function of robots is yet another classification that might be chosen. Both particular and generic functions are possible for robots to do. So, what exactly does that imply? -Task-specific robots: these machines are designed to carry out a single task or a series of activities that might be performed independently. Depending on the level of complexity, it might be as straightforward as a robot arm that transports things from point A to point B, or it could be as intricate as a social robot that has an advanced natural language interface. The architecture and conduct of these robots cannot be altered; they have predetermined programming that they follow in accordance with the purpose for which they were established. These types of devices include industrial robots as well as robots used in households. - General purpose robots: When it comes to general-purpose robotics, the task that the robot is supposed to perform is not predetermined. There are a variety of components of the robots that can be purchased individually, and these components may be joined in a variety of different ways in order to accomplish certain projects. There is a possibility that the components will consist of robot arms, wheels, cameras, step motors, and more sensors and actuators. Another possibility is that these robots are equipped with wireless connections, such as Bluetooth and Wi-Fi. The "brain" of the robot, which is often a tiny computer, may be "trained" to carry out a variety of activities using a variety of components by utilizing specialized programs that are written in computer programming languages. The Nvidia Jetson and Jetson Nano, Raspberry Pi, and Arduino are examples of popular programmable tiny computers, which are often referred to as embedded systems. Through the use of a common communication interface, these embedded systems are equipped with general-purpose input and output connectors, often known as GPIOs. These connections allow for the connecting of actuators and sensors. There are also general-purpose robots that have a prebuilt body that is comprised of sensors (such as cameras and microphones) and actuators (such as arms and legs). It is possible for the robot to carry out a variety of distinct duties thanks to the development of various computer programs. Among the robots that fall under this category are Softbank Robotics' Nao, Pepper, and Romeo, as well as Spot, the robot 'dog' that Boston Dynamics has developed. In addition, robots can be classified according to the number of instances of each type: - Single robots: a single robot accomplishes its tasks independently. It is responsible for carrying out a task in accordance with a predetermined program. It is possible that the established program may incorporate cutting-edge technologies that will enable the robot to adjust to its surroundings. Additionally, the robot may be connected to the internet; yet, the robot will still be operating independently. Due to the fact that they are unable to interact with one another, even if there are many single robots in the same location, they are still considered to be "alone." - Swarm robots: robots are able to collaborate with one another in a group setting. Within the context of this scenario, a large number of simple robots are controlled and collaborate with one another. Despite the fact that the individual robots that comprise the swarm are not particularly useful, the swarm as a whole is capable of doing substantial tasks. Take, for instance, bees that are found in their natural habitat. If millions of bees were to collaborate in swarms, it is quite possible that they accomplish huge tasks. This is because a single bee is only capable of accomplishing a small amount of work. There is the possibility that swarm robots could be utilized in a wide range of sectors, such as microbiology, surveillance, pollination, as well as exploration and rescue. Despite this, the vast bulk of research on swarm robots is still being carried out at the time that this book is being presented. Nevertheless, an additional cause for concern arises whenever the degree of realism of robots is increased. Individuals are typically receptive to robots that are designed to mimic humans. In the same way that we identify industrial robots in the manufacturing industry, our brain is able to quickly categorize humanoid robots that resemble robots. This is similar to how we classified industrial robots. It is possible for individuals to suffer uncertainty and even frustration when they come into contact with a robot that is artificially lifelike. We are aware that it is a robot given the facts that have transpired. However, the brain is unable to deal with this reality since it seems to be so accurate. This is because the brain is unable to process the information. Despite the fact that its skin, movement, and even voice are strikingly similar to those of a person, our brain has a difficult time recognizing it as a robot. This book provides a good beginning for people interested in knowing more information about robots, and includes several chapters ranging from, robots main concepts, robots functioning basics, advances in robotics technologies and implementations, robots in education, and advanced topics in robotics.

Fundamentals Of Agricultural And Field Robotics

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Author : Manoj Karkee
language : en
Publisher:
Release Date : 2021

Fundamentals Of Agricultural And Field Robotics written by Manoj Karkee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Over the past century, mechanization has been an important means for optimizing resource utilization, improving worker health and safety and reducing labor requirements in farming while increasing productivity and quality of 4F (Food, Fuel, Fiber, Feed). Recognizing this contribution, agricultural mechanization was considered as one of the top ten engineering achievements of 20th century by the National Academy of Engineering. Accordingly farming communities have adopted increasing level of automation and robotics to further improve the precision management of crops (including input resources), increase productivity and reduce farm labor beyond what has been possible with conventional mechanization technologies. It is more important than ever to continue to develop and adopt novel automation and robotic solutions into farming so that some of the most complex agricultural tasks, which require huge amount of seasonal labor such as fruit and vegetable harvesting, could be automated while meeting the rapidly increasing need for 4F. In addition, continual innovation in and adoption of agricultural automation and robotic technologies is essential to minimize the use of depleting resources including water, minerals and other chemicals so that sufficient amount of safe and healthy food can be produced for current generation while not compromising the potential for the future generation. This book aims at presenting the fundamental principles of various aspects of automation and robotics as they relate to production agriculture (the branch of agriculture dealing with farming operations from field preparation to seeding, to harvesting and field logistics). The building blocks of agricultural automation and robotics that are discussed in the book include sensing and machine vision, control, guidance, manipulation and end-effector technologies. The fundamentals and operating principles of these technologies are explained with examples from cutting-edge research and development currently going on around the word. This book brings together scientists, engineers, students and professionals working in these and related technologies to present their latest examples of agricultural automation and robotics research, innovation and development while explaining the fundamentals of the technology. The book, therefore, benefits those who wish to develop novel agricultural engineering solutions and/or to adopt them in the future. .

Advanced Computing Machine Learning Robotics And Internet Technologies

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Author : Prodipto Das
language : en
Publisher: Springer Nature
Release Date : 2024-04-15

Advanced Computing Machine Learning Robotics And Internet Technologies written by Prodipto Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Computers categories.

This two-volume set constitutes selected papers presented during the First International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, held in Silchar, India, in March 2023. The 20 full papers and 27 short papers presented were thoroughly reviewed and selected from 110 submissions. They cover the following topics: artificial intelligence, machine learning, natural language processing, image processing, data science, soft computing techniques, computer networks and security, computer architecture and algorithms.

Springer Handbook Of Automation

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Author : Shimon Y. Nof
language : en
Publisher: Springer Nature
Release Date : 2023-06-16

Springer Handbook Of Automation written by Shimon Y. Nof and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Technology & Engineering categories.

This handbook incorporates new developments in automation. It also presents a widespread and well-structured conglomeration of new emerging application areas, such as medical systems and health, transportation, security and maintenance, service, construction and retail as well as production or logistics. The handbook is not only an ideal resource for automation experts but also for people new to this expanding field.