Computer Vison Berbasis Deep Learning Untuk Aplikasi Pertanian Teori Dan Praktik
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Computer Vison Berbasis Deep Learning Untuk Aplikasi Pertanian Teori Dan Praktik
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Author : Kahlil, Muhammad Rizky Munggaran, Laksono Kurnianggoro, Adhiguna Mahendra, Nona Zarima, Fina Noviantika, Alifya Febriana
language : id
Publisher: Syiah Kuala University Press
Release Date : 2023-07-11
Computer Vison Berbasis Deep Learning Untuk Aplikasi Pertanian Teori Dan Praktik written by Kahlil, Muhammad Rizky Munggaran, Laksono Kurnianggoro, Adhiguna Mahendra, Nona Zarima, Fina Noviantika, Alifya Febriana and has been published by Syiah Kuala University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-11 with Education categories.
Kecerdasan Artifisial (artificial intelligence, AI) semakin banyak digunakan dan membantu masyarakat dalam berbagai aplikasi sehari-hari. Melalui buku ini dijelaskan dengan detail langkah-langkah aplikasi Computer Vision yang menerapkan teknik Deep Learning AI untuk pertanian, atau secara khusus implementasinya untuk pengklasifikasi jenis penyakit pada tanaman, deteksi rumput liar, prediksi hasil panen, pengklasifikasian multi-kelas biji Kopi Arabika, serta pengklasifikasian buah-buahan. Buku ini juga menjadi dasar teori untuk memulai dari pemrograman Python, Deep Learning hingga ke praktek pembuatan aplikasi berbasis Deep Learning. Buku ini ditujukan bagi pembaca yang ingin mempelajari cara membuat aplikasi Deep Learning untuk aplikasi pertanian. Penulis sangat mengapresiasi dan mendukung masyarakat untuk mengembangkan lebih jauh pengetahuan dan keterampilan menggunakan AI demi semakin memajukan Indonesia dalam kancah dunia.
Computer Vision And Machine Learning In Agriculture Volume 2
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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer Nature
Release Date : 2022-03-13
Computer Vision And Machine Learning In Agriculture Volume 2 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 2022-03-13 with Technology & Engineering categories.
This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.
Computer Vision And Machine Learning In Agriculture Volume 3
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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2023-07-31
Computer Vision And Machine Learning In Agriculture Volume 3 written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Technology & Engineering categories.
This book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
Deep Learning And Computer Vision Models And Biomedical Applications
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Author : Uma N. Dulhare
language : en
Publisher: Springer Nature
Release Date : 2025-07-18
Deep Learning And Computer Vision Models And Biomedical Applications written by Uma N. Dulhare and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-18 with Computers categories.
This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.
Computer Vision And Machine Learning In Agriculture
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Author : Mohammad Shorif Uddin
language : en
Publisher:
Release Date : 2021
Computer Vision And Machine Learning In Agriculture written by Mohammad Shorif Uddin 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.
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.
Applications Of Computer Vision And Drone Technology In Agriculture 4 0
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Author : Siddharth Singh Chouhan
language : en
Publisher: Springer Nature
Release Date : 2024-03-18
Applications Of Computer Vision And Drone Technology In Agriculture 4 0 written by Siddharth Singh Chouhan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-18 with Technology & Engineering categories.
This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists. The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields. This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.
Deep Learning And Computer Vision Models And Biomedical Applications
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Author : Uma N. Dulhare
language : en
Publisher: Springer Nature
Release Date : 2025-03-08
Deep Learning And Computer Vision Models And Biomedical Applications written by Uma N. Dulhare and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Computers categories.
This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.
Computer Vision In Smart Agriculture And Crop Management
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Author : Rajesh Kumar Dhanaraj
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-15
Computer Vision In Smart Agriculture And Crop Management written by Rajesh Kumar Dhanaraj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Technology & Engineering categories.
This book is essential for anyone interested in understanding how smart agriculture, utilizing information and technology such as computer vision and deep learning, can revolutionize agriculture productivity, resolve ongoing concerns, and enhance economic and general effectiveness in farming. The need for a reliable food supply has driven the development of smart agriculture, which leverages technology to assist farmers, especially in remote areas. A key component is computer vision (CV) technology, which, combined with deep learning, can manage agricultural productivity and enhance automation systems for improved efficiency and cost-effectiveness. Automation in agriculture ensures benefits like reduced costs, high performance, and accuracy. Aerial imaging and high-throughput research enable effective crop monitoring and management. Computer vision and AI models aid in detecting plant health, impurities, and pests, supporting sustainable farming. This book explores using CV and AI to develop smart agriculture through deep learning, data mining, and intelligent applications.
Artificial Intelligence In Agriculture
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Author : Rajesh Singh
language : en
Publisher: CRC Press
Release Date : 2021-11-30
Artificial Intelligence In Agriculture written by Rajesh Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Technology & Engineering categories.
This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.
Artificial Intelligence And Machine Learning Techniques In Image Processing And Computer Vision
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Author : Karm Veer Arya
language : en
Publisher: CRC Press
Release Date : 2024-08-23
Artificial Intelligence And Machine Learning Techniques In Image Processing And Computer Vision written by Karm Veer Arya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Computers categories.
This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods. The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the climate changes in over time with remote sensing, and more.