Renewable Energy, Год журнала: 2024, Номер 237, С. 121694 - 121694
Опубликована: Окт. 23, 2024
Язык: Английский
Computers and Electronics in Agriculture, Год журнала: 2024, Номер 221, С. 108993 - 108993
Опубликована: Май 9, 2024
Язык: Английский
Процитировано
29
Technology in Society, Год журнала: 2024, Номер 76, С. 102479 - 102479
Опубликована: Фев. 13, 2024
Язык: Английский
Процитировано
15
Drones, Год журнала: 2024, Номер 8(11), С. 686 - 686
Опубликована: Ноя. 19, 2024
In the face of growing challenges in modern agriculture, such as climate change, sustainable resource management, and food security, drones are emerging essential tools for transforming precision agriculture. This systematic review, based on an in-depth analysis recent scientific literature (2020–2024), provides a comprehensive synthesis current drone applications agricultural sector, primarily focusing studies from this period while including few notable exceptions particular interest. Our study examines detail technological advancements systems, innovative aerial platforms, cutting-edge multispectral hyperspectral sensors, advanced navigation communication systems. We analyze diagnostic applications, crop monitoring mapping, well interventional like spraying drone-assisted seeding. The integration artificial intelligence IoTs analyzing drone-collected data is highlighted, demonstrating significant improvements early disease detection, yield estimation, irrigation management. Specific case illustrate effectiveness various crops, viticulture to cereal cultivation. Despite these advancements, we identify several obstacles widespread adoption, regulatory, technological, socio-economic challenges. particularly emphasizes need harmonize regulations beyond visual line sight (BVLOS) flights improve economic accessibility small-scale farmers. review also identifies key opportunities future research, use swarms, improved energy autonomy, development more sophisticated decision-support systems integrating data. conclusion, underscore transformative potential technology sustainable, productive, resilient agriculture global 21st century, highlighting integrated approach combining innovation, adapted policies, farmer training.
Язык: Английский
Процитировано
14
Drones, Год журнала: 2024, Номер 8(9), С. 457 - 457
Опубликована: Сен. 3, 2024
Uncrewed aerial vehicles (UAVs) for plant protection play a vital role in modern agricultural operations. In recent years, advancements UAVs and pest control technologies have significantly enhanced operational efficiency. These innovations addressed historical challenges practices by improving automation precision managing insect pests, diseases, weeds. offer high efficiency, wide adaptability to different terrain, safe applications. The development demand these increased boost production. settings where conventional machinery struggles carry out farming operations, transformed providing efficiency significant profitability. integration of other smart has driven advancements. UAV sector received substantial attention as convergence production, service, delivery, introducing synergy through the presence several developing areas. market this technology is expected grow future. comprehensive review, we analyzed an overview research, diverse techniques, transition from advanced application, trends, milestones across cropping systems. We also discussed adoption subsidy policies. order properly understand atomization systems, spray drift, droplet deposition detection technologies, capabilities related technologies. Additionally, reviewed software programs, data-driven tools, biodegradable materials, payloads, batteries, sensing weather, spraying factors. Regulatory limitations, operating farmer’s training, economic effects, guidelines were acknowledged review. This review highlights deficiencies provides essential knowledge use agriculture tasks regions. Finally, examine urgency implementations sector. conclusion, summarize their with applications future research prospects, offering directions follow-up on key encouraging enhancement production management terms accuracy, sustainability.
Язык: Английский
Процитировано
13
Drones, Год журнала: 2024, Номер 8(11), С. 664 - 664
Опубликована: Ноя. 10, 2024
The integration of unmanned aerial vehicles (UAVs) with artificial intelligence (AI) and machine learning (ML) has fundamentally transformed precision agriculture by enhancing efficiency, sustainability, data-driven decision making. In this paper, we present a comprehensive overview the multispectral, hyperspectral, thermal sensors mounted on drones AI-driven algorithms to transform modern farms. Such technologies support crop health monitoring in real time, resource management, automated making, thus improving productivity considerably reduced consumption. However, limitations include high costs operation, limited UAV battery life, need for highly trained operators. novelty study lies thorough analysis comparison all UAV-AI research, along an existing related works gaps. Furthermore, practical solutions technological challenges are summarized provide insights into agriculture. This paper also discusses barriers adoption suggests overcome limitations. Finally, outlines future research directions, which will discuss advances sensor technology, energy-efficient AI models, how these aspects influence ethical considerations regarding use UAVs agricultural research.
Язык: Английский
Процитировано
11
Technology in Society, Год журнала: 2024, Номер 78, С. 102648 - 102648
Опубликована: Июнь 27, 2024
The manufacturing sector attributes the growing prominence of Drones and Internet (IoD) systems to their multifaceted utility in delivery, process monitoring, infrastructure inspection, inventory management, predictive maintenance, safety inspections. Despite potential benefits, adopting these technologies faces significant obstacles that need systematic identification resolution. current literature inadequately addresses barriers impeding adoption IoD manufacturing, indicating a research gap. This study bridges this gap by providing comprehensive insights facilitating organisational transition towards embracing Drone technologies. identifies 20 critical deploying manufacturing. These are validated through global quantitative survey 120 experts analyzed via Exploratory Factor Analysis (EFA). EFA categorises challenges into six distinct dimensions. Utilizing Analytical Hierarchy Process (AHP), dimensions individual ranked, incorporating feedback from five specialists. highlights 'Safety Human Resource Barriers' 'Payload Capacity Battery as most predominant obstacles. Key concerns include limited battery life, explosion risks, damage assets individuals. significantly advances existing presenting practical methodology for categorising prioritising barriers. Employing AHP offers globally relevant framework stakeholders strategically address challenges, advancing integration drones domain.
Язык: Английский
Процитировано
10
Outlook on Agriculture, Год журнала: 2023, Номер 52(4), С. 469 - 485
Опубликована: Окт. 11, 2023
The global agricultural paradigm is witnessing a transformative shift with the advent of precision agriculture. While large-scale enterprises have been swift in their embrace this innovation, its uptake among small-scale farmers remains nuanced and complex. This study elucidates multi-faceted determinants that influence adoption agriculture within farming sector. adopts systematic literature review approach, meticulously selecting analysing 29 relevant papers. Drawing upon an exhaustive empirical analyses, research presents composite framework weaving economic, technological, social, environmental factors. Among these, social dynamics emerge as most significant factor, shaped by awareness levels, knowledge dissemination pathways, entrenched cultural norms. These elements often intertwine ingrained traditional practices perceptions, forming intricate layer shaping attitudes. Notably, although economic factors like substantial initial investments calculus Return on Investment are present, they overshadowed considerations. technological landscape characterised challenges digital literacy, infrastructural readiness, interoperability. Lastly, imperatives, underscored resource scarcity, climate change resilience, ecosystem services, offer both motivations. Together, these delineate roadmap guiding journey toward adoption. comprehensive exploration provides stakeholders actionable insights, fostering informed decision-making strategic interventions to augment agriculture's integration tapestry.
Язык: Английский
Процитировано
18
International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 111, С. 104669 - 104669
Опубликована: Июль 11, 2024
While the role of innovation and adaptation technology in reducing climatic risks is widely recognized, few studies have investigated formal, quasi-formal, informal institutions facilitating adoption such at local level. The novel contribution this study offering explanations how facilitate or create barriers against implementation climate technologies. In study, we employ a mixed-methods research technique to empirically examine roles two coastal communities Bangladesh reduction impacts hazards. Primary data were collected via interviewing 300 household heads, 26 key informant interviews, 2 Focus Group Discussion sessions. findings reveal that (i.e., informal) are actively involved various partnership-building processes actions promote technologies community For example, area Satkhira District, collaboration with non-governmental organizations (NGOs) as well national level government organizations, Meteorological Department, Union Parishad Disaster Management Committees deeply engaged mobilizing volunteers effectively disseminate cyclone-related early warnings. However, significant institutional fragmentation country remains major barrier sustainable programs related play their sustainably, it recommended policies place greater emphasis on nurturing partnerships among regional stakeholders, collective action for climate-induced disaster risk participatory development.
Язык: Английский
Процитировано
8
Ecological Informatics, Год журнала: 2024, Номер 83, С. 102811 - 102811
Опубликована: Сен. 7, 2024
Язык: Английский
Процитировано
6
SSRN Electronic Journal, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
The new project adds exciting capability to the arena of hyperspectral imaging with custom high-end approach based state-of-the-art in SLAM, taking advanced UAV technology into wider applications quickly. In this abstract, we outline our research work leading up incorporating an improved version A* (the nearest neighbour method embedded a right-to-roam targeter) cameras for targets moving, and specifically administered within extremely harsh environment settings focus on forested lands. This is enabled by ability image across broad electromagnetic spectrum. Hyperspectral allow UAVs fly closer together see more details surface than traditional RGB counterparts, making them eyes which perceive navigate feature-rich environments. Path planning, semantic-aware that combines distance optimization collision avoidance over planar off-road scenes. paper presents extended formalism includes proper preparation spectral pre-processing; it also provides practical implementation generalized silver box operates effectively analyzing data. system described results from rigorous experiments are presented illustrating its potential respect accuracy, precision, recall rates. Our work, demonstrating versatility range environments grasslands deserts, constitutes next-generation technologies. connects next as tipping point where bot-specific SLAM frameworks receive extensions make possible essential real-world applications: city builds environmental management.
Язык: Английский
Процитировано
0