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標(biāo)題: Titlebook: IoT and AI in Agriculture; Smart Automation Sys Tofael Ahamed Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive li [打印本頁]

作者: ARGOT    時(shí)間: 2025-3-21 19:50
書目名稱IoT and AI in Agriculture影響因子(影響力)




書目名稱IoT and AI in Agriculture影響因子(影響力)學(xué)科排名




書目名稱IoT and AI in Agriculture網(wǎng)絡(luò)公開度




書目名稱IoT and AI in Agriculture網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱IoT and AI in Agriculture被引頻次




書目名稱IoT and AI in Agriculture被引頻次學(xué)科排名




書目名稱IoT and AI in Agriculture年度引用




書目名稱IoT and AI in Agriculture年度引用學(xué)科排名




書目名稱IoT and AI in Agriculture讀者反饋




書目名稱IoT and AI in Agriculture讀者反饋學(xué)科排名





作者: GLUE    時(shí)間: 2025-3-22 00:19

作者: Compatriot    時(shí)間: 2025-3-22 00:53

作者: Induction    時(shí)間: 2025-3-22 04:36

作者: climax    時(shí)間: 2025-3-22 10:58
Revolutionizing Agriculture: Embracing Modern Strategies for the Management of Coffee Leaf Rust Dis. This chapter highlights the transformative potential of deep learning in detecting coffee leaf rust in the fight against coffee leaf rust disease, which can offer a ray of hope for the advanced management of coffee leaf rust in the future.
作者: 要素    時(shí)間: 2025-3-22 16:44

作者: 松緊帶    時(shí)間: 2025-3-22 20:53
t type of hardware, platforms, and machine learning techniqu.This book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinfor
作者: dura-mater    時(shí)間: 2025-3-22 22:44

作者: Jacket    時(shí)間: 2025-3-23 04:32
Book 2024 transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement the labor shortages, ensure the safety of intangible labor migration system to achieve one of the sustainable development goals (SDG) to secure food se
作者: Hirsutism    時(shí)間: 2025-3-23 07:33

作者: 簡(jiǎn)潔    時(shí)間: 2025-3-23 10:50

作者: Consequence    時(shí)間: 2025-3-23 17:41
http://image.papertrans.cn/i/image/475104.jpg
作者: 誓言    時(shí)間: 2025-3-23 20:13
978-981-97-1265-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: crockery    時(shí)間: 2025-3-23 23:59
rning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current 978-981-97-1265-6978-981-97-1263-2
作者: nonradioactive    時(shí)間: 2025-3-24 05:40
Raka Thoriq Araaf,Ivana Joy Pauline Pangaribuan,Tofael Ahamed
作者: RLS898    時(shí)間: 2025-3-24 09:33

作者: 絕食    時(shí)間: 2025-3-24 12:41

作者: 指耕作    時(shí)間: 2025-3-24 18:09

作者: Excise    時(shí)間: 2025-3-24 20:09
Jiang Ailian,Tofael Ahamedeiche Algorithmen ent- wickelt, diskutiert und verbessert. Diese Bemühungen erhielten durch die immer leistungsf?higeren Computer einen erneuten Aufschwung. Somit geh?rt die Ab- laufplanung zu den faszinierenden Herausforderungen des Operations Research, wenn man dieses Spezialgebiet zwischen Betrie
作者: Hamper    時(shí)間: 2025-3-25 02:52

作者: Opponent    時(shí)間: 2025-3-25 03:32
Book 2024rientation of the book on how the deployment of outdoor and indoor sensors, AI/machine learning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current
作者: Rinne-Test    時(shí)間: 2025-3-25 11:21

作者: 食道    時(shí)間: 2025-3-25 14:04

作者: glans-penis    時(shí)間: 2025-3-25 18:54
Automatic Navigation of Pesticide Spraying Vehicle for Orchard Tree Trunk Detection, tree trunks, after that K-means divided the targets into left and right groups, and finally, random sample consensus (RANSAC) was calculated to get the left and right boundary lines, and the midline of the two boundary lines was the planning path for navigation. In field tests, the results show tha
作者: 無力更進(jìn)    時(shí)間: 2025-3-25 21:30
Driver Safety System for Agricultural Machinery Operations Using Deep Learning Algorithm,Considering that the safety system requires very high real-time performance, this research replaced all 3D convolutions of the model with depth-separable convolutions to obtain the contextual semantic information of the temporal layer and spatial dimensional information, and CGAP obtained the tempor
作者: 犬儒主義者    時(shí)間: 2025-3-26 01:47
Navigation System for Autonomous Agricultural Vehicles for Indoor Farms,e process of SLAM. This research outcomes reported image local invariant features extracting algorithm, global localization, environment mapping based on the image frames, path planning, and path tracking. The ORB_SLAM was used, which is one of the SLAM repositories that oriented FAST and Rotated BR
作者: Robust    時(shí)間: 2025-3-26 07:56

作者: 發(fā)起    時(shí)間: 2025-3-26 11:39
High-Throughput Plant Phenotyping Techniques in Controlled Environments,enges such as data management, standardization, and the extraction of meaningful biological insights are addressed. By highlighting the advantages and limitations of these techniques, a comprehensive overview is provided for researchers aiming to employ high-throughput phenotyping in controlled envi
作者: Polydipsia    時(shí)間: 2025-3-26 16:25
Digital Transformation of Horticultural Crop Production Systems Toward Sustainable Agricultural Pros and plant factories and are being integrated in different crop production operations, such as pest and disease monitoring and detection, nutrient and water management as well as in harvesting and postharvest operations. The digital transformation of horticultural crop production systems is excitin
作者: Petechiae    時(shí)間: 2025-3-26 18:21
Challenges in Orchard Weed Management: Perspectives on the Use of 3D Cameras and LiDAR to Develop aing obstacles. After that, the advantages and disadvantages of various perception sensors are detailed based on the literature. Finally, we introduce a weed control strategy for orchard weeding operations in terms of the navigation strategy and weed cutting mechanisms of small robots. The robotic we
作者: 巨大沒有    時(shí)間: 2025-3-26 21:41

作者: Bernstein-test    時(shí)間: 2025-3-27 04:58
Optimization of Soil-Based Irrigation Scheduling Through the Integration of Machine Learning, Remotand opportunities associated with these technologies. In particular, it underscores the potential benefits and the challenges involved in utilizing soil moisture sensors, remote sensing data, and ML techniques in synergy. The section emphasizes the importance of data quality assurance, interdiscipli
作者: 千篇一律    時(shí)間: 2025-3-27 07:17

作者: nocturnal    時(shí)間: 2025-3-27 12:13

作者: mitten    時(shí)間: 2025-3-27 13:49

作者: Eeg332    時(shí)間: 2025-3-27 20:58
Strategic Short Note: Climate Smart Technology for Corn Production in Rizal, Kalinga, Philippines,ributed to climatic hazards such as typhoon, monsoon rains, drought, and prolonged dry season affecting the municipality. These phenomena put pressure on the production causing damages and reduction in the yield of corn. For farmers to adapt or mitigate the negative effects of these hazards, several
作者: 釘牢    時(shí)間: 2025-3-28 01:26

作者: 善變    時(shí)間: 2025-3-28 05:34

作者: SLING    時(shí)間: 2025-3-28 08:43
Automatic Navigation of Pesticide Spraying Vehicle for Orchard Tree Trunk Detection,nducive to the operation of large-sized machinery. A small automatic spraying robot can alleviate the problem of labor shortage in orchard. The dense canopy of the orchard not only blocks the GNSS signals. However, the lack of light reduces the accuracy of object recognition by normal RGB camera. In
作者: 漸變    時(shí)間: 2025-3-28 11:54
Driver Safety System for Agricultural Machinery Operations Using Deep Learning Algorithm, of the driver for subsequent safe handling. This research aims to identify and classify the driver’s actions while driving to determine whether the driver is in dangerous behavior and thus be able to raise an early warning. Considering that there are few studies and datasets in agricultural driving
作者: 不開心    時(shí)間: 2025-3-28 15:41
Navigation System for Autonomous Agricultural Vehicles for Indoor Farms,vigation functions. The SLAM is used to integrate localization function with the construction of the surrounding environment. When the robot vehicle moves, the system builds a consistent map using sensing of the environment according to its pose estimation. This research aims to design an autonomous
作者: hereditary    時(shí)間: 2025-3-28 21:52

作者: frozen-shoulder    時(shí)間: 2025-3-29 02:51

作者: 分離    時(shí)間: 2025-3-29 04:38

作者: Anhydrous    時(shí)間: 2025-3-29 08:42
Revolutionizing Agriculture: Embracing Modern Strategies for the Management of Coffee Leaf Rust Disne of the most valuable commodities in the world. Unfortunately, the sustainability of this popular drink is threatened by a disease called coffee leaf rust. Coffee leaf rust is a devasting disease caused by fungus that can damage coffee plantations and affect coffee production globally. Due to the
作者: alliance    時(shí)間: 2025-3-29 15:24

作者: 尊嚴(yán)    時(shí)間: 2025-3-29 18:57

作者: 小故事    時(shí)間: 2025-3-29 19:49
Investigating the Pesticide Spraying Characteristics of Plant Protection UAV and Designing a Variablication technologies, control of some pests has become challenging. Recently, multirotor unmanned aerial vehicle (UAV) has become a popular tool in pesticide spraying due to the ability of creating downwash airflow by the rotation speed of the rotor. In this study, the effect of downwash airflow of
作者: 捏造    時(shí)間: 2025-3-30 03:00

作者: Synapse    時(shí)間: 2025-3-30 05:52
Strategic Short Note: Enhancing Postharvest Operations Through Centralized Data Processing and Analre scattered over the country or the region depending on many factors to increase the efficiency of production and profitability. The main drawback is the expertise and knowledge to address the different issues in postharvest operations. Bringing the data from different post-harvest operations to a
作者: 嚙齒動(dòng)物    時(shí)間: 2025-3-30 11:39

作者: 館長(zhǎng)    時(shí)間: 2025-3-30 14:04

作者: Protein    時(shí)間: 2025-3-30 19:28

作者: PAC    時(shí)間: 2025-3-30 23:45
Wu Di,Tofael Ahamedinitionen noch Konzepte und Theorien zur Sterbehilfe vorhanden. Ebenso fehlen sozialwissenschaftliche empirische Studien zur Sterbehilfe fast vollst?ndig. Der Fragekomplex Sterbehilfe wurde bisher vorwiegend von Medizinerinnen, Ethikern und Juristinnen untersucht und die vorhandenen empirischen Stud
作者: 發(fā)源    時(shí)間: 2025-3-31 03:18

作者: decipher    時(shí)間: 2025-3-31 06:26
Zhang Hengyi,Tofael Ahamedagen der Betriebswirtschaftslehre" in aus damaliger Sicht sehr klarer Weise her- ausgearbeitet. Die Ablaufplanung "bildet neben der Bereitstellungsplanung den zweiten Sektor der Vollzugsplanung. Beide Teilbereiche der Vollzugsplanung sind praktisch auf das engste miteinander verknüpft. Aus methodisc
作者: 矛盾心理    時(shí)間: 2025-3-31 09:50
Harri Mattilands on empirical relationships and user experience to select the initial experimental conditions and maximize the number of solid forms discovered. Crystal structure prediction is a significantly valuable complement to the experimental physical form screening yet it is still far from routine for com
作者: thrombus    時(shí)間: 2025-3-31 14:53

作者: 預(yù)防注射    時(shí)間: 2025-3-31 20:33
1064-3745 of state-of-the-art detection procedures, as well as pre-PCR sample processing and various general aspects of PCR. The chapters of this volume have been written by investigators well conversan978-1-59259-344-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
作者: menopause    時(shí)間: 2025-3-31 23:07
https://doi.org/10.1007/978-1-349-16186-7ions of people with little access to basic health or education facilities. The pandemic should be an opportunity to build in India an effective and publicly provided social security system as well as rural infrastructure and research institutions.
作者: Interferons    時(shí)間: 2025-4-1 02:42

作者: PANG    時(shí)間: 2025-4-1 08:45





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