Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture Volume Ii
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Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture Volume Ii
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Author : Yongliang Qiao
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-03
Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture Volume Ii written by Yongliang Qiao 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 2023-07-03 with Science categories.
Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture
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Author : Yongliang Qiao
language : en
Publisher: Frontiers Media SA
Release Date : 2022-12-27
Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture written by Yongliang Qiao 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 2022-12-27 with Science categories.
Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture
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Author : Huajian Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-18
Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture written by Huajian Liu 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 2024-01-18 with Science categories.
Plant phenotyping (PP) describes the physiological and biochemical properties of plants affected by both genotypes and environments. It is an emerging research field that is assisting the breeding and cultivation of new crop varieties to be more productive and resilient to challenging environments. Precision agriculture (PA) uses sensing technologies to observe crops and then manage them optimally to ensure that they grow in healthy conditions, have maximum productivity, and have minimal negative effects on the environment. Traditionally, the observation of plant traits heavily relies on human experts which is labor intensive, time-consuming, and subjective. Automatic crop traits measurement in PP and PA are two different fields, but they share the same sensing and data processing technologies in many respects. Recently, driven by computer and sensor technologies, machine vision (MV) and machine learning (ML) have contributed to accurate, high-throughput, and nondestructive plant phenotyping and precision agriculture. However, these technologies are still in their infant stage and there are many challenges and questions related to them that still need to be addressed. The goal of this Research Topic is to provide a platform to share the latest research results on the application of MV and ML for PP and PA. It aims to highlight cutting-edge technologies, bottle-necks, and future research directions for MV and ML in crop breeding, crop cultivation, disease management, weed control, and pest control.
Iot And Ai In Agriculture
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Author : Tofael Ahamed
language : en
Publisher: Springer Nature
Release Date :
Iot And Ai In Agriculture written by Tofael Ahamed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
High Throughput Field Phenotyping To Advance Precision Agriculture And Enhance Genetic Gain Volume Ii
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Author : Andreas Hund
language : en
Publisher: Frontiers Media SA
Release Date : 2024-03-01
High Throughput Field Phenotyping To Advance Precision Agriculture And Enhance Genetic Gain Volume Ii written by Andreas Hund 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 2024-03-01 with Science categories.
This Research Topic is part of the High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain series. The discipline of “High Throughput Field Phenotyping” (HTFP) has gained momentum in the last decade. HTFP includes a wide range of disciplines such as plant science, agronomy, remote sensing, and genetics; as well as biochemistry, imaging, computation, agricultural engineering, and robotics. High throughput technologies have substantially increased our ability to monitor and quantify field experiments and breeding nurseries at multiple scales. HTFP technology can not only rapidly and cost-effectively replace tedious and subjective ratings in the field, but can also unlock the potential of new, latent phenotypes representing underlying biological function. These advances have also provided the ability to follow crop growth and development across seasons at high and previously inaccessible spatial and temporal resolutions. By combining these data with measurements of all environmental factors affecting plant growth and yield (“Envirotyping”), genotypic-specific reaction norms and phenotypic plasticity may be elucidated.
Artificial Intelligence And Smart Agriculture Technology
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Author : Utku Kose
language : en
Publisher: CRC Press
Release Date : 2022-06-27
Artificial Intelligence And Smart Agriculture Technology written by Utku Kose and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-27 with Computers categories.
This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications. The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.
Instant Insights Artificial Intelligence Applications In Agriculture
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Author : Dr Leisa Armstrong
language : en
Publisher: Burleigh Dodds Science: Instant Insights
Release Date : 2023-06-20
Instant Insights Artificial Intelligence Applications In Agriculture written by Dr Leisa Armstrong and has been published by Burleigh Dodds Science: Instant Insights this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with categories.
This collection considers the variety of applications of Artificial Intelligence in agriculture, highlighting its use in vineyards to improve precision irrigation, as well as its use in harvest-assist platforms in citrus orchards.
Precision Agriculture For Sustainability
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Author : Narendra Khatri
language : en
Publisher: CRC Press
Release Date : 2024-02-13
Precision Agriculture For Sustainability written by Narendra Khatri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-13 with Technology & Engineering categories.
This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.
Artificial Intelligence Of Things Aiot In Precision Agriculture
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Author : Yaqoob Majeed
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-12
Artificial Intelligence Of Things Aiot In Precision Agriculture written by Yaqoob Majeed 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 2024-02-12 with Science categories.
The merging of Artificial Intelligence (AI) and Internet-of-Things is known as Artificial Intelligence-of-Things (AIoT). IoT consists of interlinked computing devices and machines which can acquire, transfer, and execute field/industrial operations without human involvement, while AI processes the acquired data and helps extract the required information. The technologies work in synergy: AI enriches IoT through machine learning and deep learning-based data analysis and learning capabilities, whereas IoT enriches AI through data acquisition, connectivity, and data exchange. Precision agriculture is becoming critically important for sustainable food production to meet the growing food demand. In recent decades, AI and IoT techniques have played an increasing role within industrial operations (e.g. autonomous manufacturing, automated supply chain management, predictive maintenance, smart energy grids, smart home appliances, and wearables), however, agricultural field operations are still heavily dependent on human labor. This is because these operations are ill-defined, unstructured, and susceptible to variation in natural conditions (e.g. illumination, landscape, atmosphere) plus the biological nature of crops (fruits, stems, leaves, and/or shoots continuously change their shape and/or color as they grow).
Intelligent Data Mining And Fusion Systems In Agriculture
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Author : Xanthoula Eirini Pantazi
language : en
Publisher: Academic Press
Release Date : 2019-10-08
Intelligent Data Mining And Fusion Systems In Agriculture written by Xanthoula Eirini Pantazi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Business & Economics categories.
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture Addresses AI use in weed management, disease detection, yield prediction and crop production Utilizes case studies to provide real-world insights and direction