Methods in microbiology, Journal Year: 2024, Volume and Issue: unknown, P. 141 - 177
Published: Jan. 1, 2024
Language: Английский
Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100838 - 100838
Published: Feb. 1, 2025
Language: Английский
Citations
2
Environmental Challenges, Journal Year: 2024, Volume and Issue: 16, P. 100976 - 100976
Published: July 6, 2024
Artificial intelligence (AI) is an umbrella term for a wide range of machine systems that can replicate the behavior humans. AI and Big Data have emerged as defining characteristics fourth industrial revolution (IR). has developed tools. Because novelty, investigation IR, AI, their environmental effects still in early stages exploration. This study investigates how IR affect human health also discusses machine-human ideas, innovation, AI's benefits, further examines challenges these innovations, recommends additional studies to explain progress. As result, application technology management, particularly concerning pollution, become significant advancement reshaping our approach monitoring environment. Numerous countries are reaping substantial advantages by integrating creating, executing, assessing measures address degradation. These innovations yield societal contribute achieving Sustainable Development Goals (SDGs) 2030; unfortunately, it important acknowledge benefits may not align well with sustainability objectives, increasing number electronic gadgets presents concern. Conducting future research crucial investigate growing prevalence devices utilized its potential ramifications trajectory climate change, approaches being taken issue. Future should prioritize conducting lifecycle impact analyses, developing sustainable hardware, optimizing renewable energy usage, advancing modeling techniques, finding effective solutions managing e-waste, utilizing protection, socio-environmental studies, policies regulations, creating energy-efficient algorithms, circular economy principles ensure advancements sustainability.
Language: Английский
Citations
13
Land, Journal Year: 2025, Volume and Issue: 14(1), P. 108 - 108
Published: Jan. 8, 2025
Cropland resilience is the ability of cropland systems to adapt and rebound from multiple stresses disturbances. vital for ensuring national food security, promoting sustainable agricultural development, adapting global climate change. This study measures in China using entropy method within PSR framework. Additionally, it employs quantitative analysis methods, including kernel density estimation, standard deviation ellipse, Theil Index, geographical detector, systematically examine spatiotemporal dynamics its driving factors China. The findings reveal evolving trends over time space, highlighting regional differences spatial distribution resilience. found following: (1) overall shows an upward trend, but there uneven development among regions, particularly relatively lagging western areas. (2) There a notable imbalance resilience, primarily driven by intra-regional differences. (3) Stability Grain Production; Total Fiscal Expenditure on Agriculture, Forestry, Water; Soil–Water Harmony; Disaster Resistance Index are identified as key factors, with influence notably increasing time. (4) highlights critical role synergistic effects these enhancing noting significant strengthening synergies research results offer fresh perspective dynamic environments. They enhance our understanding characteristics underlying processes, provide scientific basis policymaking aimed at use management cropland.
Language: Английский
Citations
1
Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2025, Volume and Issue: 4, P. 642 - 642
Published: Feb. 5, 2025
This paper explores the dual role of artificial intelligence (AI) technologies in Ukraine’s post-war economic recovery and cybersecurity using Agent-Based Modeling (ABM). The simulation reveals that sectors like manufacturing banking rapidly adopt AI due to clear productivity security benefits, leading positive spillover effects across broader economy. However, slower adoption such as agriculture retail highlights need for government intervention, subsidies tax incentives, ensure a balanced recovery. In cybersecurity, AI-enhanced defence mechanisms significantly improve threat detection response, though they also introduce new vulnerabilities, requiring continuous system updates stay ahead evolving threats. findings emphasise importance strategic adaptive policies context, with implications future stability national security. study identifies critical areas research, including data validation further exploration vulnerabilities.
Language: Английский
Citations
1
Sensors, Journal Year: 2024, Volume and Issue: 24(23), P. 7480 - 7480
Published: Nov. 23, 2024
This systematic review critically evaluates the current state and future potential of real-time, end-to-end smart, automated irrigation management systems, focusing on integrating Internet Things (IoTs) machine learning technologies for enhanced agricultural water use efficiency crop productivity. In this review, automation each component is examined in pipeline from data collection to application while analyzing its effectiveness, efficiency, integration with various precision agriculture technologies. It also investigates role interoperability, standardization, cybersecurity IoT-based solutions applications. Furthermore, existing gaps are identified proposed seamless across multiple sensor suites aiming achieve fully autonomous scalable management. The findings highlight transformative systems address global food challenges by optimizing maximizing yields.
Language: Английский
Citations
7
Business Strategy and the Environment, Journal Year: 2023, Volume and Issue: 33(4), P. 2788 - 2802
Published: Nov. 27, 2023
Abstract The impact of climate change, including fires, droughts and storms, on natural resources agricultural output is increasing. In addition to these problems, resource depletion greenhouse gas (GHG) emissions, agriculture also contributes global warming. To reduce the dangers farmers are using sustainable practices. This article aims link agri‐food 4.0 technology with climate‐smart (CSA) lessen two‐way interaction (both affecting impacted) between sector warming, as well related business. light this information, research methodology paper twofold. Initially, risks towards change CSA technologies overcome were determined through a literature review. Then, evaluated by adopting TODIM (an acronym in Portuguese for Interactive Multicriteria Decision Making), which used evaluating criteria set change‐related provide guiding map academics practitioners eliminate associated factors. According study's findings, highest‐priority concerns industries that connected include energy consumption, food safety GHG emissions. Internet Things (IoT), bio‐innovation artificial intelligence thought be most promising technological solutions address problems.
Language: Английский
Citations
15
Deleted Journal, Journal Year: 2025, Volume and Issue: 9, P. 61 - 83
Published: March 10, 2025
Light is essential for plant growth and plays a crucial role in photosynthesis. However, sunlight often falls short of ensuring photosynthesis efficiency due to its wavelength composition, changing weather conditions, the unique characteristics plants, which create challenges agricultural productivity. To address this, many innovative farming practices have been developed, including controlled environment agriculture, creates microclimates that optimize conditions plants. improve light these microclimates, researchers turned luminescent light-conversion materials. These materials are incorporated into polymers convert underutilized wavelengths, such as UV blue light, photosynthetically active radiation (PAR). Luminescent like fluorescent pigments, quantum dots, rare-earth-doped compounds, when polymers, produce films enhance absorption spectral energy distribution. They shown great potential increase crop yield, biomass, quality fruits vegetables. Despite their potential, remain on path widespread adoption. Environmental impact, scalability, economic feasibility significant concerns. This review explores integration functionality photoluminescent polymer nanocomposites light-converting It also examines current limitations while offering future perspectives how can be used sustainable solutions
Language: Английский
Citations
0
LatIA, Journal Year: 2025, Volume and Issue: 3, P. 88 - 88
Published: Feb. 19, 2025
The introduction of a deep learning-based method for non-destructive leaf area index (LAI) assessment has enhanced rapid estimation wheat and similar crops, aiding crop growth monitoring, water, nutrient management. Convolutional Neural Network (CNN)-based algorithms enable accurate, quantification seedling areas assess LAI across diverse genotypes environments, demonstrating adaptability. Transfer learning, known efficiency in plant phenotyping, was tested as resource-saving approach training the model. These advancements support breeding, facilitate genotype selection varied accelerate genetic gains, enhance genomic LAI. By capturing this can improve resilience to climate change. Additionally, advances machine learning data science better prediction distribution mapping global rust pathogens, major agricultural challenge. Accurate risk identification allows timely effective control measures. Moreover, lodging models using CNNs lodging-prone varieties, influencing decisions yield stability. artificial intelligence-driven techniques contribute sustainable enhancement, especially context change increasing food demand.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0
Deleted Journal, Journal Year: 2025, Volume and Issue: 7(4)
Published: March 28, 2025
Agriculture must become more climate resilient to handle the difficulties posed by change. This bibliometric review examines significant fields, worldwide collaborations, and research trends from 2004 2024 using Dimensions platform. With a 25.77% yearly growth rate an average of 10.15 citations per document, involving 2,605 authors, it discovers 477 sources contributing 1,000 papers. In support integrated approach concerns, theme map emphasizes crucial role "climate change" its connections "resilience," "policy," "sustainable development." strong positive connection (R2 = 0.7097) linear growth, annual publication trend indicates noteworthy rise in interest adaptive techniques. Important terms like "adaptation" have significantly increased, reflecting changing conversation. Three primary clusters, headed researchers David D. Woods, Andrea Nowak, Zilberman, are visible co-authorship network. Prominent works demonstrate local global effects, as their Local Citation Scores indicate. The word cloud visualization historical citation network highlight between important ideas explain collaborative cumulative character this field's study. offers thorough picture that will direct future research, advise policy, promote cooperation improve agriculture's resilience. By these insights, decision-makers may create successful, fact-based policies eventually food security sustainable development. Based on results, investigations can develop long-lasting efficient solutions.
Language: Английский
Citations
0