標(biāo)題: Titlebook: Computational Intelligence in Internet of Agricultural Things; M. G. Sumithra,Malathy Sathyamoorthy,Mariya Ouaiss Book 2024 The Editor(s) [打印本頁(yè)] 作者: 文化修養(yǎng) 時(shí)間: 2025-3-21 19:52
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書目名稱Computational Intelligence in Internet of Agricultural Things讀者反饋學(xué)科排名
作者: Misgiving 時(shí)間: 2025-3-21 23:00
Role of Big Data Analytics in Intelligent Agriculture,e on contemporary agriculture in the context of the Internet of Agricultural Things (IoAT). The narrative examines the key elements that enable intelligent farming by breaking down the characteristics of data volume, velocity, variety, veracity, and value: predictive insights for crop yields, prescr作者: HIKE 時(shí)間: 2025-3-22 01:50
Machine Learning-Based Remote Monitoring and Predictive Analytics System for Apple Harvest Storage:s by statistical modeling is an important requirement for automation of post harvest cooling operations of fruits. Air velocity of the four fans installed in the evaporator system was controlled using an electronic Variable Frequency Drive (VFD). Four different air flow rates, viz., 10.8, 8.1, 5.4 a作者: 倔強(qiáng)一點(diǎn) 時(shí)間: 2025-3-22 05:35 作者: 無(wú)表情 時(shí)間: 2025-3-22 11:55 作者: IRK 時(shí)間: 2025-3-22 13:09
An Analytical Approach and Concept Mapping of Agricultural Issues Using Deep Learning Techniques,rce wastage by leveraging advanced technologies like remote sensing, Geographic Information Systems (GIS), and the Internet of Things (IoT). However, the growing threat of weeds continues to pose a significant challenge of unwanted consumption of nutrient resources by weeds therefore affecting the o作者: IRK 時(shí)間: 2025-3-22 17:25 作者: 積極詞匯 時(shí)間: 2025-3-22 23:00
Barriers to Implementing Computational Intelligence-Based Agriculture System,lture (CIA), considering its growing significance as the globe aims for zero hunger by 2030 per the United Nations. By conducting a comprehensive analysis of various scholarly sources, we have classified the obstacles encountered by stakeholders in the agriculture sector into different categories. T作者: legitimate 時(shí)間: 2025-3-23 05:25 作者: 拱形面包 時(shí)間: 2025-3-23 07:57 作者: 柔美流暢 時(shí)間: 2025-3-23 11:16
Advancing Plant Disease Detection with Hybrid Models: Vision Transformer and CNN-Based Approaches,farming. Plant disease detection extends its significance beyond the boundaries of agriculture, with far-reaching implications. It contributes to economic stability, sustainable farming practices, reduced pesticide usage, product quality assurance, global trade compliance, climate resilience, and th作者: reception 時(shí)間: 2025-3-23 15:48 作者: 漫不經(jīng)心 時(shí)間: 2025-3-23 21:53
Innovating with Quantum Computing Approaches in Block-Chain for Enhanced Security and Data Privacy n technology. The security of data collected in large scale by IoT devices in agriculture is the primary issue in the stage of implementation. One of the main objectives of this research is to leverage the power of quantum computing in improving the security infrastructure of blockchain, which is an作者: 可轉(zhuǎn)變 時(shí)間: 2025-3-23 22:45
Implementing Fog Computing in Precision Agriculture for Real-Time Soil Health Monitoring and Data Malth and the management of agricultural data possible. The contemporary industrial agriculture face the challenge of the evaluation of the soil condition appropriately and on time if one aims to improve the production of crops and resource efficiency. The core goal of the mission is to leverage the 作者: 生氣地 時(shí)間: 2025-3-24 04:54 作者: 躲債 時(shí)間: 2025-3-24 09:29
Artificial Intelligence in Agriculture: Potential Applications and Future Aspects,ion. An overview of AI‘s use in agronomic fields and its advancements in lab research are given in this chapter. The chapter begins by outlining two areas in which artificial intelligence (AI) may be particularly useful: soil management and farm management. Next, the technology known as the Internet作者: FLAGR 時(shí)間: 2025-3-24 13:52
Case Study on Smart Irrigation Using Internet of Things and XAI Techniques,lobal warming and greenhouse gases. The photovoltaic (PV) system employs solar energy, which is a form of renewable energy is environmentally friendly and sustainable; however, it is challenging to generate power with this technology. The best solution to this issue is to use efficient algorithms th作者: Definitive 時(shí)間: 2025-3-24 16:26 作者: AMPLE 時(shí)間: 2025-3-24 22:51
1860-949X AI techniques to generate a greater data-driven solution fo.This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with curren作者: ferment 時(shí)間: 2025-3-25 00:21 作者: 頭盔 時(shí)間: 2025-3-25 07:16
Aktuelle Probleme der Pathobiochemiegain traction in the market. Although the review notes the difficulties in transferring machines and algorithms tested in an experimental setting to real-world settings, it also emphasises the significant advancements and promising future applications of agricultural robots that have been developed and improved in recent years.作者: emulsify 時(shí)間: 2025-3-25 11:04 作者: 生氣地 時(shí)間: 2025-3-25 13:54
Burkhard K?hler,Reinhard Keimerning agriculture as encompassing all the techniques and practices involved in cultivating soil. It includes various activities in natural environments that enable the growth and harvesting of living organisms such as plants, animals, fungi, or microbes beneficial to humans. The upcoming wave of inte作者: 隱語(yǔ) 時(shí)間: 2025-3-25 18:17 作者: 引起痛苦 時(shí)間: 2025-3-25 21:29
https://doi.org/10.1007/978-3-8349-9834-7s by statistical modeling is an important requirement for automation of post harvest cooling operations of fruits. Air velocity of the four fans installed in the evaporator system was controlled using an electronic Variable Frequency Drive (VFD). Four different air flow rates, viz., 10.8, 8.1, 5.4 a作者: shrill 時(shí)間: 2025-3-26 01:43
Markensteuerung im Kundenbindungszyklusonitoring systems is “smart farming.” AI and robotics will be introduced to the agriculture sector through IoT, cloud computing, and innovative technologies. Crop growth is affected by repeated farming, and soil nutrients are reduced. The sudden climate change also affects farmland irrigation. Pests作者: Ejaculate 時(shí)間: 2025-3-26 07:41
Kundenwertanalyse im Einzelhandel field is described in this chapter along with some modelling and experimental findings. The combination of modern sensing technology and the Internet of Things is driving a paradigm change in the agriculture industry. For a Good understanding of the many variable effects of these advancements on ag作者: 圓桶 時(shí)間: 2025-3-26 10:41 作者: choroid 時(shí)間: 2025-3-26 12:59
H. Ballweg,F. W. Krüger,K. I. Arnstadtent, and livelihoods to a significant portion of the population. The history of agriculture in India is ancient, dating back thousands of years, and it has undergone significant transformations, from traditional practices to technology-driven smart agriculture. Artificial Intelligence (AI) in agricu作者: frugal 時(shí)間: 2025-3-26 17:54
G. Ott,K. Hochberg,M. Nuri,C. K?hlerlture (CIA), considering its growing significance as the globe aims for zero hunger by 2030 per the United Nations. By conducting a comprehensive analysis of various scholarly sources, we have classified the obstacles encountered by stakeholders in the agriculture sector into different categories. T作者: 合唱團(tuán) 時(shí)間: 2025-3-26 23:33
J. H. Weisburger,Elizabeth K. Weisburgerrice tampering,?and low consumer trust. Several significant challenges arise due to active human involvement in the agricultural supply chain, including monetary losses, food contamination, spoilage, lack of transparency, delays, poor traceability, security issues, and data vulnerability. The decent作者: MEAN 時(shí)間: 2025-3-27 04:02
Die Kontrolle der Tumorvirus-Genaktivit?tg arisen independently in different parts of the world under the impact of topography and climate. Unlike traditional foraging and gathering, agriculture has shown to be able to significantly increase the number of people on the planet. Precision farming (PF) has become more popular in the twenty-fi作者: 想象 時(shí)間: 2025-3-27 05:18 作者: Outshine 時(shí)間: 2025-3-27 13:00 作者: 丑惡 時(shí)間: 2025-3-27 16:37
Aktuelle Probleme der Neuropsychiatrien technology. The security of data collected in large scale by IoT devices in agriculture is the primary issue in the stage of implementation. One of the main objectives of this research is to leverage the power of quantum computing in improving the security infrastructure of blockchain, which is an作者: 平息 時(shí)間: 2025-3-27 19:36
Neurale Grundlagen des Schmerzesalth and the management of agricultural data possible. The contemporary industrial agriculture face the challenge of the evaluation of the soil condition appropriately and on time if one aims to improve the production of crops and resource efficiency. The core goal of the mission is to leverage the 作者: TRUST 時(shí)間: 2025-3-27 22:55 作者: gastritis 時(shí)間: 2025-3-28 02:44
Aktuelle Probleme der Pathobiochemieion. An overview of AI‘s use in agronomic fields and its advancements in lab research are given in this chapter. The chapter begins by outlining two areas in which artificial intelligence (AI) may be particularly useful: soil management and farm management. Next, the technology known as the Internet作者: Circumscribe 時(shí)間: 2025-3-28 09:50 作者: Obsequious 時(shí)間: 2025-3-28 11:58
Computational Intelligence in Internet of Agricultural Things978-3-031-67450-1Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: synovial-joint 時(shí)間: 2025-3-28 18:21
https://doi.org/10.1007/978-3-031-67450-1Computational Intelligence; IoT; Agriculture; Machine Learning; AI techniques; Big data analytics; Edge co作者: aerial 時(shí)間: 2025-3-28 21:26
978-3-031-67452-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: GUEER 時(shí)間: 2025-3-29 01:37
M. G. Sumithra,Malathy Sathyamoorthy,Mariya OuaissCovers key technologies and techniques such as AI, ML, and IOT in the development of smart agriculture.Focuses on the integration of IoT and AI techniques to generate a greater data-driven solution fo作者: Perineum 時(shí)間: 2025-3-29 03:54 作者: 狂怒 時(shí)間: 2025-3-29 09:57 作者: Stricture 時(shí)間: 2025-3-29 11:47 作者: hemoglobin 時(shí)間: 2025-3-29 16:28 作者: LITHE 時(shí)間: 2025-3-29 20:03 作者: Additive 時(shí)間: 2025-3-30 00:45 作者: Sleep-Paralysis 時(shí)間: 2025-3-30 07:58
Kundenwertanalyse im Einzelhandel exact and reliable information assortment for the evaluation of soil wellbeing. It digs into the utilization of sensors to gauge significant soil boundaries like pH, supplement levels, and dampness content. It exhibits how this information-driven approach improves the powerful cycles connected with作者: Daily-Value 時(shí)間: 2025-3-30 11:56
H. Ballweg,F. W. Krüger,K. I. Arnstadtne learning techniques like CNNs and other cutting-edge neural network structures, we develop a weed detection system that utilizes a comprehensive dataset of weed plants to detect areas within the agricultural landscape where the growth of weeds could pose a risk to crops. By training the model on 作者: 胡言亂語(yǔ) 時(shí)間: 2025-3-30 15:49
H. Ballweg,F. W. Krüger,K. I. Arnstadt of XAI in agriculture. An outline of XAI‘s significance in the agriculture industry is given. It discusses its relevance in addressing the unique challenges faced by farmers and stakeholders, its current scenario, and futuristic directions.作者: colloquial 時(shí)間: 2025-3-30 19:05 作者: essential-fats 時(shí)間: 2025-3-30 20:42
J. H. Weisburger,Elizabeth K. Weisburgerll resolve current problems. Blockchain technology presents a viable means of promoting a more reliable, superior, safer, and environmentally sustainable agri-food system in the future. Agri-Chain aims to connect different stakeholders while addressing challenges prevalent in the agriculture sector 作者: Nebulizer 時(shí)間: 2025-3-31 01:15
Die Kontrolle der Tumorvirus-Genaktivit?tngs (IoT) in modern agriculture. Modern applications are mostly dependent on AI and IoT technologies, which propel agricultural technology advancement. Accuracy and profitability in agricultural operations are increased when AI and IoT are integrated into modern agriculture.作者: 錯(cuò) 時(shí)間: 2025-3-31 08:12
Aktuelle Probleme der Neuropsychiatriechmark in the context of finding long-range dependencies in relevance to natural language processing and this success paved the way for their extension to CV tasks. When applied to CV, transformers are simply known as Vision Transformers (ViTs), though they still have their own set of discrepancies 作者: 本土 時(shí)間: 2025-3-31 11:07
Schmerzausschaltung durch Chordotomiea handling and efficiency of decision-making process in precision agriculture.?Through the application of current advanced technologies for agricultural risk management, the propose project concentrates on the resilience and sustainability of modern farming practices.作者: BLANC 時(shí)間: 2025-3-31 13:31
Aktuelle Probleme der Neuropsychiatrieroach not only addresses existing security challenges, but also creates the necessary basis for future-proofing Internet-of-Things systems in agriculture. The innovation methods in quantum computing adopted in this project are pioneering and provide solutions to the secure and privacy-preserving Agr作者: antidote 時(shí)間: 2025-3-31 17:53
Neurale Grundlagen des Schmerzesioned data at the edge, thereby shortening the transmission latency and relieving the pressure from the limited bandwidth resources. In addition, fog computing is the technology that not only gathers data but also manages data, analyzes data processing in real-time, and provides secure storage facil作者: 令人不快 時(shí)間: 2025-3-31 23:05 作者: Acclaim 時(shí)間: 2025-4-1 05:50 作者: Stricture 時(shí)間: 2025-4-1 09:52 作者: TRAWL 時(shí)間: 2025-4-1 12:01
Computational Intelligence and Internet of Things in the Agriculture Sector: An Introduction,re, aimed at optimizing crops through IoT-based smart sensors for real-time monitoring of factors like temperature and humidity, utilizing microcontroller technology. This chapter provides an overview of the research trends, IoT concepts, fundamental components, main challenges, and IoT applications作者: modifier 時(shí)間: 2025-4-1 15:05 作者: diabetes 時(shí)間: 2025-4-1 21:35 作者: licence 時(shí)間: 2025-4-2 02:26
