Crop Disease Recognition And Classification Using Deep Learning

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Crop Disease Recognition and Classification Using Deep Learning

Author : Nafees Akhter Farooqui
Publisher : Mohammed Abdul Sattar
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (232 download)

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Book Synopsis Crop Disease Recognition and Classification Using Deep Learning by : Nafees Akhter Farooqui

Download or read book Crop Disease Recognition and Classification Using Deep Learning written by Nafees Akhter Farooqui and published by Mohammed Abdul Sattar. This book was released on 2023-07-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world's largest agricultural need is high production; hence, most countries use modern techniques to boost crop yields. Advanced technology should increase yields. Other factors such as environmental stresses (pests, diseases, drought stress, nutritional deficits, and weeds) and pests affect plants at any stage. Thus, in agriculture, both quantity and quality are reduced. Crop diseases are the most important reason for quality and quantity losses in farming production. Such losses negatively affect the profit and production costs of stakeholders in farming. Conventionally, plant pathologists and farmers utilize their eyes to notice diseases and formulate decisions depending upon their knowledge that are often not precise and at times biased as in the earlier time a lot of types of diseases seems to be similar. This scheme paved the way for the needless usage of pesticides that resulted in high generation costs. Therefore, the requirement for a precise disease detector related to a consistent dataset to assist farmers is essential, particularly for the case of inexperienced and young ones . Advancements in computer vision help with the usage of ML or DL schemes. Moreover, there is a requirement for an earlier disease recognition system for protecting the yield over time. Accordingly, CNN is highly deployed in crop disease detection, and reasonable results are attained. Nevertheless, the crop disease images attained from lands were characteristically uncertain images that have a noteworthy effect on the enhancement of accuracy in crop disease recognition from images. There is a detrimental effect on agricultural output due to the prevalence of crop diseases, and increase food insecurity . The agricultural industry relies heavily on early identification of diseases, that prevention of crop diseases. Spots or scars on the leaves, stems, flowers, or fruits are common symptoms of crop diseases. Most of the time, anomalies can be diagnosed by looking for telltale signs that are specific to a given disease or pest. The leaves of crops are often the first to show signs of disease, making them an excellent starting point for diagnosis

Agricultural Informatics

Author : Amitava Choudhury
Publisher : John Wiley & Sons
ISBN 13 : 1119769213
Total Pages : 304 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Agricultural Informatics by : Amitava Choudhury

Download or read book Agricultural Informatics written by Amitava Choudhury and published by John Wiley & Sons. This book was released on 2021-03-02 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.

Artificial Intelligent Techniques for Wireless Communication and Networking

Author : R. Kanthavel
Publisher : John Wiley & Sons
ISBN 13 : 1119821789
Total Pages : 388 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Artificial Intelligent Techniques for Wireless Communication and Networking by : R. Kanthavel

Download or read book Artificial Intelligent Techniques for Wireless Communication and Networking written by R. Kanthavel and published by John Wiley & Sons. This book was released on 2022-02-24 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.

Deep Learning Applications for Cyber-Physical Systems

Author : Mundada, Monica R.
Publisher : IGI Global
ISBN 13 : 1799881636
Total Pages : 293 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning Applications for Cyber-Physical Systems by : Mundada, Monica R.

Download or read book Deep Learning Applications for Cyber-Physical Systems written by Mundada, Monica R. and published by IGI Global. This book was released on 2021-12-17 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

Human and Machine Learning

Author : Jianlong Zhou
Publisher : Springer
ISBN 13 : 3319904035
Total Pages : 485 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Human and Machine Learning by : Jianlong Zhou

Download or read book Human and Machine Learning written by Jianlong Zhou and published by Springer. This book was released on 2018-06-07 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

Advanced AI Methods for Plant Disease and Pest Recognition

Author : Jucheng Yang
Publisher : Frontiers Media SA
ISBN 13 : 2832550096
Total Pages : 350 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advanced AI Methods for Plant Disease and Pest Recognition by : Jucheng Yang

Download or read book Advanced AI Methods for Plant Disease and Pest Recognition written by Jucheng Yang and published by Frontiers Media SA. This book was released on 2024-06-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant diseases and pests cause significant losses to farmers and threaten food security worldwide. Monitoring the growing conditions of crops and detecting plant diseases is critical for sustainable agriculture. Traditionally, crop inspection has been carried out by people with expert knowledge in the field. However, regarding any activity carried out by humans, this activity is prone to errors, leading to possible incorrect decisions. Innovation is, therefore, an essential fact of modern agriculture. In this context, deep learning has played a key role in solving complicated applications with increasing accuracy over time, and recent interest in this type of technology has prompted its potential application to address complex problems in agriculture, such as plant disease and pest recognition. Although substantial progress has been made in the area, several challenges still remain, especially those that limit systems to operate in real-world scenarios.

Internet of Things and Machine Learning in Agriculture

Author : Jyotir Moy Chatterjee
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110691272
Total Pages : 424 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Internet of Things and Machine Learning in Agriculture by : Jyotir Moy Chatterjee

Download or read book Internet of Things and Machine Learning in Agriculture written by Jyotir Moy Chatterjee and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-02-08 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.

2021 6th International Conference for Convergence in Technology (I2CT)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728188775
Total Pages : pages
Book Rating : 4.1/5 (887 download)

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Book Synopsis 2021 6th International Conference for Convergence in Technology (I2CT) by : IEEE Staff

Download or read book 2021 6th International Conference for Convergence in Technology (I2CT) written by IEEE Staff and published by . This book was released on 2021-04-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Microwave Wireless Networking Computational Intelligence Advanced Computing Electronics and Interdisciplinary Data Communication and Networking Renewable and Sustainable Energy Power Engineering and Control System Signal and Image Processing Communication System Biomedical Engineering Design, Materials and Manufacturing Fleet Technologies

Handbook of Research on Applications and Implementations of Machine Learning Techniques

Author : Sathiyamoorthi Velayutham
Publisher : IGI Global, Engineering Science Reference
ISBN 13 : 9781522599029
Total Pages : 0 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Handbook of Research on Applications and Implementations of Machine Learning Techniques by : Sathiyamoorthi Velayutham

Download or read book Handbook of Research on Applications and Implementations of Machine Learning Techniques written by Sathiyamoorthi Velayutham and published by IGI Global, Engineering Science Reference. This book was released on 2019-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--

Data Analytics in Bioinformatics

Author : Rabinarayan Satpathy
Publisher : John Wiley & Sons
ISBN 13 : 111978560X
Total Pages : 433 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Analytics in Bioinformatics by : Rabinarayan Satpathy

Download or read book Data Analytics in Bioinformatics written by Rabinarayan Satpathy and published by John Wiley & Sons. This book was released on 2021-01-20 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Deep learning approaches for object recognition in plant diseases: a review

Author : Zimo Zhou
Publisher : OAE Publishing Inc.
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep learning approaches for object recognition in plant diseases: a review by : Zimo Zhou

Download or read book Deep learning approaches for object recognition in plant diseases: a review written by Zimo Zhou and published by OAE Publishing Inc.. This book was released on 2023-10-28 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant diseases pose a significant threat to the economic viability of agriculture and the normal functioning of trees in forests. Accurate detection and identification of plant diseases are crucial for smart agricultural and forestry management. Artificial intelligence has been successfully applied to agriculture in recent years. Many intelligent object recognition algorithms, specifically deep learning approaches, have been proposed to identify diseases in plant images. The goal is to reduce labor and improve detection efficiency. This article reviews the application of object detection methods for detecting common plant diseases, such as tomato, citrus, maize, and pine trees. It introduces various object detection models, ranging from basic to modern and sophisticated networks, and compares the innovative aspects and drawbacks of commonly used neural network models. Furthermore, the article discusses current challenges in plant disease detection and object detection methods and suggests promising directions for future work in learning-based plant disease detection systems.

Feedforward Neural Network Methodology

Author : Terrence L. Fine
Publisher : Springer Science & Business Media
ISBN 13 : 0387226494
Total Pages : 353 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Feedforward Neural Network Methodology by : Terrence L. Fine

Download or read book Feedforward Neural Network Methodology written by Terrence L. Fine and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.

Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Author : Durai Pandian
Publisher : Springer
ISBN 13 : 3030006654
Total Pages : 1869 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) by : Durai Pandian

Download or read book Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) written by Durai Pandian and published by Springer. This book was released on 2019-01-01 with total page 1869 pages. Available in PDF, EPUB and Kindle. Book excerpt: These are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them. The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc. ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering.

Deep learning in crop diseases and insect pests

Author : Rujing Wang
Publisher : Frontiers Media SA
ISBN 13 : 2832517749
Total Pages : 244 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Deep learning in crop diseases and insect pests by : Rujing Wang

Download or read book Deep learning in crop diseases and insect pests written by Rujing Wang and published by Frontiers Media SA. This book was released on 2023-04-05 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning for Agricultural Visual Perception

Author : Rujing Wang
Publisher : Springer Nature
ISBN 13 : 9819949734
Total Pages : 140 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Deep Learning for Agricultural Visual Perception by : Rujing Wang

Download or read book Deep Learning for Agricultural Visual Perception written by Rujing Wang and published by Springer Nature. This book was released on 2023-09-20 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep convolutional neural network technology have also been proposed. This book can be used as a reference for teachers and students majoring in agriculture, computer science, artificial intelligence, intelligent science and technology, and other related fields in higher education institutions. It can also be used as a reference book for researchers in fields such as image processing technology, intelligent manufacturing, and high-tech applications.

International Conference on Communication, Computing and Electronics Systems

Author : V. Bindhu
Publisher : Springer Nature
ISBN 13 : 9811526125
Total Pages : 742 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis International Conference on Communication, Computing and Electronics Systems by : V. Bindhu

Download or read book International Conference on Communication, Computing and Electronics Systems written by V. Bindhu and published by Springer Nature. This book was released on 2020-03-04 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high impact papers presented at the International Conference on Communication, Computing and Electronics Systems 2019, held at the PPG Institute of Technology, Coimbatore, India, on 15-16 November, 2019. Discussing recent trends in cloud computing, mobile computing, and advancements of electronics systems, the book covers topics such as automation, VLSI, embedded systems, integrated device technology, satellite communication, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, Internet of Things, precision models, bioinformatics, and healthcare informatics.

Detection and Classification of Plant Diseases Using Deep Neural Networks

Author : Susanne Prinz
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (135 download)

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Book Synopsis Detection and Classification of Plant Diseases Using Deep Neural Networks by : Susanne Prinz

Download or read book Detection and Classification of Plant Diseases Using Deep Neural Networks written by Susanne Prinz and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global food security is severely threatened by plant diseases , fusarium head or ear blight (FHB or FEB) being the most devastating and dangerous epidemic fungal diseases worldwide in global cereal production. FHB results in reductions in crop quality, yield losses and can severely be health endangering due to the production of mycotoxins within the grain caused by this fungal infection. One of the most effective means to mitigate the impact of this disease is the development of FHB resistant cultivars.Thus, one of the major tasks for plant breeding is the detection and identification of plant deceases and is typically performed manually by an experienced breeder. Since it is infeasible to observe these changes manually, the idea is to automatically identify the breeds suffering from FHB from images taken by drones. For this interdisciplinary scientific problem, a close collaboration between breeders, robotics experts, and computer scientists is established to enhance the automated identification issue of plant disease detection.In order to achieve an automated efficient and robust identification method of fusarium ear blight disease, a deep-learning-based image segmentation approach is conducted. A deep-learning algorithm is developed based on data sets with original images and corresponding pixel-wise labelled image information which is able to output a certain label to a new input image. The input images are in vivo images of the inoculated crops and the algorithm provides its output such as pixel-wise wheat ear areas or infested wheat ear areas. To examine which image information provides sufficient information for establishing a robust yet efficient cereal ear detection model multiple models based on different image information (grey-scale, color, edge) as well as different kinds of labels (scarcely labelled or sections of precisely labelled masks) are established. In total, there are six models generated based on six data sets. The results indicate that color