標(biāo)題: Titlebook: Artificial Intelligence Techniques in Smart Agriculture; Siddharth Singh Chouhan,Akash Saxena,Sanjeev Jain Book 2024 The Editor(s) (if app [打印本頁(yè)] 作者: CLOG 時(shí)間: 2025-3-21 18:47
書(shū)目名稱Artificial Intelligence Techniques in Smart Agriculture影響因子(影響力)
書(shū)目名稱Artificial Intelligence Techniques in Smart Agriculture影響因子(影響力)學(xué)科排名
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書(shū)目名稱Artificial Intelligence Techniques in Smart Agriculture網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
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書(shū)目名稱Artificial Intelligence Techniques in Smart Agriculture讀者反饋
書(shū)目名稱Artificial Intelligence Techniques in Smart Agriculture讀者反饋學(xué)科排名
作者: 惡臭 時(shí)間: 2025-3-21 21:14
Thea Heijenbrok-van Herpen,Wobbe HospesCollaboratively addressing the numerous sophisticated technical and social issues is necessary for fully utilizing the potential of AI for small-scale farmers who are at risk. The primary issue that has been highlighted is the lack of high-quality data that represent different farm types, marginaliz作者: 去掉 時(shí)間: 2025-3-22 01:11
Thea Heijenbrok-van Herpen,Wobbe Hospeszed agriculture, increasing efficiency, productivity, and sustainability. One of the main drivers of this change is the integration of artificial intelligence (AI) technologies encompassing machine learning (ML), computer vision and data analytics into agriculture. AI has become a revolutionary tool作者: Apraxia 時(shí)間: 2025-3-22 07:13 作者: infringe 時(shí)間: 2025-3-22 12:08
Criteria voor goede richtlijnenrming practices. The necessity of smart farming in addressing global challenges such as increasing food demand, resource scarcity, and the impacts of climate change has been highlighted. Smart farming, driven by technologies like precision agriculture, digital farming, artificial intelligence (AI), 作者: 前面 時(shí)間: 2025-3-22 16:12
https://doi.org/10.1007/978-90-368-0267-3hapter delves into the technical underpinnings of these innovations, exploring diverse devices, their functionalities, and the platforms that orchestrate their seamless integration. We embark on a journey, dissecting the hardware and software components of intelligent devices, including sensors, act作者: 散開(kāi) 時(shí)間: 2025-3-22 17:39 作者: CAMEO 時(shí)間: 2025-3-23 00:11
J.J.E. Everdingen,D.H.H. Dreesens,T. Weijdenicultural business has a number of barriers, notably changing weather conditions that induce a variety of serious diseases in plants, depressing crop yields, and revenues. An optimized Convolution Neural Network model for identifying and reliably detecting plant stress phenotyping. By using the capa作者: 協(xié)奏曲 時(shí)間: 2025-3-23 03:30
Integriteit en kwaliteit van clinical trials computer vision. This chapter explores the profound impact of AI-driven computer vision, highlighting its crucial role in changing how we manage crops, detect diseases, and optimize resources in agriculture. This integration goes beyond just improving precision farming; it empowers effective crop m作者: OFF 時(shí)間: 2025-3-23 09:08 作者: 表示問(wèn) 時(shí)間: 2025-3-23 12:27
Maarten Postma,Cornelis Boersmaencompassing a fusion of information and communication technologies (ICTs) with agricultural practices, offers immense potential to improve efficiency, sustainability, and productivity. Its core components include sensing and monitoring, data collection, communication technologies, and decision supp作者: 水土 時(shí)間: 2025-3-23 15:56
Exploratory clinical developmento attain sustainable crop production. Since water shortages and losses are intolerable, efficient management calls for sound leak detection procedures and proactive decision-making. On the other hand, Current Agriculture is being confronted with climate change, unexpected pest outbreaks, frequent in作者: Ingenuity 時(shí)間: 2025-3-23 19:44
Verslavingszorg in de tbs-kliniekxplores the AI concept within the context of smart agriculture. It conducts a systematic literature review, revealing a growing trend in AI-related publications and highlighting its applications and advantages. The evolution of agriculture from traditional methods to the current Agriculture 4.0 era 作者: 火光在搖曳 時(shí)間: 2025-3-24 01:35 作者: antedate 時(shí)間: 2025-3-24 04:30
De community reinforcement approach (CRA)merges as a promising approach to bolster sustainable agriculture across social, economic, and environmental dimensions. This chapter delves into the advantages of integrating drone technology into India’s agricultural landscape. Over the past decade, advancements in information technology have prop作者: 身體萌芽 時(shí)間: 2025-3-24 08:59 作者: 徹底明白 時(shí)間: 2025-3-24 14:08
Siddharth Singh Chouhan,Akash Saxena,Sanjeev JainDiscusses mechanisms and understanding for adaptation of artificial intelligence in different sectors of agriculture.Summarizes different models, algorithms, tools and findings related to artificial i作者: membrane 時(shí)間: 2025-3-24 17:26 作者: 偶像 時(shí)間: 2025-3-24 20:33 作者: 狂怒 時(shí)間: 2025-3-25 02:11 作者: 否決 時(shí)間: 2025-3-25 04:56
Assessing the Importance and Need of Artificial Intelligence for Precision Agriculture,logy have directed the future of almost every industry towards this domain. This technology has helped to automate a number of process and applications. Adopting intelligence upsurges the quality and quantity of the products. It enhances the workers skill and simulates the problem-solving mechanism 作者: eardrum 時(shí)間: 2025-3-25 09:16
Challenges in Achieving Artificial Intelligence in Agriculture,Collaboratively addressing the numerous sophisticated technical and social issues is necessary for fully utilizing the potential of AI for small-scale farmers who are at risk. The primary issue that has been highlighted is the lack of high-quality data that represent different farm types, marginaliz作者: Intruder 時(shí)間: 2025-3-25 14:28
Introduction to Artificial Intelligence Techniques in Agricultural Applications and Their Future Aszed agriculture, increasing efficiency, productivity, and sustainability. One of the main drivers of this change is the integration of artificial intelligence (AI) technologies encompassing machine learning (ML), computer vision and data analytics into agriculture. AI has become a revolutionary tool作者: Figate 時(shí)間: 2025-3-25 19:41 作者: GNAW 時(shí)間: 2025-3-25 20:34
Smart Farming Management System: Pre and Post-Production Interventions,rming practices. The necessity of smart farming in addressing global challenges such as increasing food demand, resource scarcity, and the impacts of climate change has been highlighted. Smart farming, driven by technologies like precision agriculture, digital farming, artificial intelligence (AI), 作者: Morsel 時(shí)間: 2025-3-26 02:51 作者: AGGER 時(shí)間: 2025-3-26 06:33 作者: 火光在搖曳 時(shí)間: 2025-3-26 09:20
Deep Learning-Based Plant Stress Diagnosis: An Optimized Generative Augmentation Model Approach,icultural business has a number of barriers, notably changing weather conditions that induce a variety of serious diseases in plants, depressing crop yields, and revenues. An optimized Convolution Neural Network model for identifying and reliably detecting plant stress phenotyping. By using the capa作者: 緩解 時(shí)間: 2025-3-26 14:13
Transformative Impact of AI-Driven Computer Vision in Agriculture, computer vision. This chapter explores the profound impact of AI-driven computer vision, highlighting its crucial role in changing how we manage crops, detect diseases, and optimize resources in agriculture. This integration goes beyond just improving precision farming; it empowers effective crop m作者: Jubilation 時(shí)間: 2025-3-26 19:55 作者: evasive 時(shí)間: 2025-3-26 23:58 作者: DENT 時(shí)間: 2025-3-27 02:51
AI-Based Regulation of Water Supply and Pest Management in Farming,o attain sustainable crop production. Since water shortages and losses are intolerable, efficient management calls for sound leak detection procedures and proactive decision-making. On the other hand, Current Agriculture is being confronted with climate change, unexpected pest outbreaks, frequent in作者: Arb853 時(shí)間: 2025-3-27 07:40 作者: 摘要記錄 時(shí)間: 2025-3-27 10:22 作者: PAEAN 時(shí)間: 2025-3-27 15:24 作者: Bronchial-Tubes 時(shí)間: 2025-3-27 20:33 作者: gain631 時(shí)間: 2025-3-28 01:10
Artificial Intelligence Techniques in Smart Agriculture作者: 上坡 時(shí)間: 2025-3-28 04:43
Artificial Intelligence Techniques in Smart Agriculture978-981-97-5878-4作者: Negligible 時(shí)間: 2025-3-28 07:55 作者: 確定方向 時(shí)間: 2025-3-28 13:10
micians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribut978-981-97-5880-7978-981-97-5878-4作者: Foolproof 時(shí)間: 2025-3-28 18:01
Thea Heijenbrok-van Herpen,Wobbe Hospes, decentralized, and participative methods considered local socioeconomic and policy constraints are necessary for the implementation of AI. Concerns about hidden biases and responsibility are raised by AI systems. Building trust requires redress channels, audits, and transparency systems. To create作者: ostensible 時(shí)間: 2025-3-28 22:11 作者: LATHE 時(shí)間: 2025-3-29 02:21
J.A. Swinkels,T. Dunnink,H. Vermeulenhe individuals reading the context. In order to effectively use AI into agriculture, several constraints need to be resolved. Enhancing data quality and collecting, cutting down on the cost of AI technologies, making AI models more flexible, and creating unambiguous ethical standards for their use s作者: 退潮 時(shí)間: 2025-3-29 05:41
Criteria voor goede richtlijnenineyard management robots and fruit harvesting robots, offer innovative solutions to labor-intensive tasks and enhance operational efficiency. Furthermore, the importance of irrigation water management in sustainable agriculture, showcasing technologies like soil water sensing, automated irrigation 作者: Corroborate 時(shí)間: 2025-3-29 10:06
J.J.E. Everdingen,D.H.H. Dreesens,T. Weijdenicultural decision-support systems, benefiting a wide range of businesses. This work, which establishes a new standard for harnessing artificial intelligence for sustainable agriculture practices, will assist plant stress detection and improved crop management.作者: cajole 時(shí)間: 2025-3-29 14:24
Integriteit en kwaliteit van clinical trialsphasizes significant benefits such as cost-effectiveness, increased efficiency, and precision. Yet, it acknowledges challenges faced by this technology: the need for extensive datasets, a growing demand for skilled professionals, and maintaining consistent performance across diverse environments..Lo作者: 流利圓滑 時(shí)間: 2025-3-29 19:15 作者: 正式演說(shuō) 時(shí)間: 2025-3-29 21:37 作者: 凝結(jié)劑 時(shí)間: 2025-3-30 01:56
Exploratory clinical developmentays, we can use AI to create resilient and feasible solutions that surpass current technological advances. Water supply and pest management are the domains that possess significant potential to enhance the livelihoods of subsistence farmers. In this chapter, we want to highlight promising AI approac作者: Decimate 時(shí)間: 2025-3-30 04:12 作者: 膽小鬼 時(shí)間: 2025-3-30 10:38
Frans Willem Winkel,Maarten Kunsticient, sustainable, and productive by giving farmers information on how to grow crops and reducing risks and uncertainties like diseases, pests, and drought. Real-time tracking and predictive analytics make it possible for farmers to find and fix potential problems quickly, which protects crops and作者: evaculate 時(shí)間: 2025-3-30 16:20 作者: arthrodesis 時(shí)間: 2025-3-30 19:57 作者: 調(diào)味品 時(shí)間: 2025-3-30 21:47
Challenges in Achieving Artificial Intelligence in Agriculture,, decentralized, and participative methods considered local socioeconomic and policy constraints are necessary for the implementation of AI. Concerns about hidden biases and responsibility are raised by AI systems. Building trust requires redress channels, audits, and transparency systems. To create作者: Gingivitis 時(shí)間: 2025-3-31 04:06
Introduction to Artificial Intelligence Techniques in Agricultural Applications and Their Future Asemploying AI in a responsible manner, we can unleash the complete potential of this technology, revolutionizing farming practices for the betterment of both farmers and the agricultural industry. This chapter discusses the fundamental concepts of AI, its major components, and applications within the作者: sleep-spindles 時(shí)間: 2025-3-31 06:01 作者: 殺蟲(chóng)劑 時(shí)間: 2025-3-31 13:05
