
Smart Agricultural Technology, Год журнала: 2025, Номер unknown, С. 100979 - 100979
Опубликована: Апрель 1, 2025
Язык: Английский
Smart Agricultural Technology, Год журнала: 2025, Номер unknown, С. 100979 - 100979
Опубликована: Апрель 1, 2025
Язык: Английский
Results in Engineering, Год журнала: 2024, Номер 23, С. 102829 - 102829
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
20Agronomy, Год журнала: 2025, Номер 15(3), С. 565 - 565
Опубликована: Фев. 25, 2025
Without transformative adaptation strategies, the impact of climate change is projected to reduce global crop yields and increase food insecurity, while rising greenhouse gas (GHG) emissions further exacerbate crisis. While agriculture a major contributor through unsustainable practices, it also offers significant opportunities mitigate these adoption sustainable practices. This review examines climate-smart (CSA) as key strategy for enhancing productivity, building resilience, reducing GHG emissions, emphasizing need strategic interventions accelerate its large-scale implementation improved security. The analysis revealed that nitrogen use efficiency (NUE) has in developed countries, NUE remains at 55.47%, precision nutrient management integrated soil fertility strategies enhance productivity minimize environmental impacts. With 40% world’s agricultural land already degraded, sustainability alone insufficient, necessitating shift toward regenerative practices restore degraded water by improving health, biodiversity, increasing carbon sequestration, thus ensuring long-term resilience. CSA including agriculture, biochar application, agroforestry, improve security, emissions. However, result variability highlights site-specific optimize benefits. Integrating multiple enhances health more effectively than implementing single practice alone. Widespread faces socio-economic technological barriers, requiring supportive policies, financial incentives, capacity-building initiatives. By adopting technologies, can transition sustainability, securing systems addressing challenges.
Язык: Английский
Процитировано
5Results in Engineering, Год журнала: 2024, Номер 23, С. 102705 - 102705
Опубликована: Авг. 15, 2024
In modern agriculture, the threat of fire poses significant economic and environmental risks. Additionally, traditional detection methods are inadequate poorly integrated with advanced technologies. It is crucial to develop a more efficient reliable system. Also, lack real-time accurate monitoring in current systems compromises resilience sustainability farming operations. This article details developing implementing system tailored for smart agriculture. integrates cutting-edge technologies, including Internet Things (IoT), embedded systems, Flask-based web application, fortified by cybersecurity measures such as login authentication secure HTTP protocols. The system's primary aim monitor conditions continuously agricultural fields detect signs smoke or flame swiftly, facilitating preventive actions safeguard crops infrastructure. architecture employs sensors distributed across conditions, Raspberry Pi 3 B+ central processing unit data acquisition transmission, interface developed using Flask, HTML, CSS visualization data. Critical components like MCP3208 analog-to-digital converter ensure reliability accuracy. Experimental results confirm efficacy early via browser. Enhanced security features, authentication, protect sensitive information, while regular updates maintain relevance. study advances prevention farm preservation efforts, offering high-performance technological solution proactive quick response risks, thereby supporting food sustainable practices.
Язык: Английский
Процитировано
15Results in Engineering, Год журнала: 2024, Номер 24, С. 103392 - 103392
Опубликована: Ноя. 10, 2024
Язык: Английский
Процитировано
15Agronomy, Год журнала: 2024, Номер 14(9), С. 1975 - 1975
Опубликована: Сен. 1, 2024
Due to current global population growth, resource shortages, and climate change, traditional agricultural models face major challenges. Precision agriculture (PA), as a way realize the accurate management decision support of production processes using modern information technology, is becoming an effective method solving these In particular, combination remote sensing technology machine learning algorithms brings new possibilities for PA. However, there are relatively few comprehensive systematic reviews on integrated application two technologies. For this reason, study conducts literature search Web Science, Scopus, Google Scholar, PubMed databases analyzes in PA over last 10 years. The found that: (1) because their varied characteristics, different types data exhibit significant differences meeting needs PA, which hyperspectral most widely used method, accounting more than 30% results. UAV offers greatest potential, about 24% data, showing upward trend. (2) Machine displays obvious advantages promoting development vector algorithm 20%, followed by random forest algorithm, 18% methods used. addition, also discusses main challenges faced currently, such difficult problems regarding acquisition processing high-quality model interpretation, generalization ability, considers future trends, intelligence automation, strengthening international cooperation sharing, sustainable transformation achievements. summary, can provide ideas references combined with promote
Язык: Английский
Процитировано
9Results in Engineering, Год журнала: 2024, Номер unknown, С. 103683 - 103683
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
8Information, Год журнала: 2025, Номер 16(2), С. 100 - 100
Опубликована: Фев. 2, 2025
The integration of cutting-edge technologies—such as the Internet Things (IoT), artificial intelligence (AI), machine learning (ML), and various emerging technologies—is revolutionizing agricultural practices, enhancing productivity, sustainability, efficiency. objective this study is to review literature regarding development evolution AI well other technologies in fields Agriculture they are developed transformed by integrating above technologies. areas examined open field smart farming, vertical indoor zero waste agriculture, precision livestock greenhouses, regenerative agriculture. This paper links current research, technological innovations, case studies present a comprehensive these being context for benefit farmers consumers general. By exploring practical applications future perspectives, work aims provide valuable insights address global food security challenges, minimize environmental impacts, support sustainable goals through application new
Язык: Английский
Процитировано
1Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 431 - 468
Опубликована: Янв. 3, 2025
This chapter emphasizes the integration of IoT and computer vision technology improving precision farming also highlights crucial role that real-time data processing plays in farm robots. According to research studies, enhances efficiency operations. The spraying can be even more accurate by up 20% operating costs reduced 12%. In addition discussing topics like accuracy cybersecurity, this still addressed benefits for crop monitoring autonomous form instantaneous feedback. further explains some future areas under AI, climate-smart behaviors, emergent technology. Some takeaway points are there is so much potential greatly increase agricultural output sustainability through these advancements. Apart from that, it includes requirements continuous innovation adaptations technologies ensure they meet today's agriculture needs.
Язык: Английский
Процитировано
1Applied Sciences, Год журнала: 2025, Номер 15(4), С. 2060 - 2060
Опубликована: Фев. 16, 2025
The global energy transition is pivotal in mitigating climate change. In Chile, the system that includes hydropower faces challenges from prolonged megadroughts, necessitating diversification toward renewable sources like solar and wind energy. However, research gaps persist understanding how these can optimally address climate-induced vulnerabilities. This study conducts a bibliometric analysis to identify trends on strategies under extreme drought conditions, distinguishing it systematic or narrative reviews. A was conducted using Scopus, incorporating 82 selected documents analyzed via Bibliometrix VOSviewer map co-authorship networks, keywords, publications. Results revealed significant increase (26.83%) (25.61%) within period (2005–2024), with most notable growth occurring last six years. Key findings include predominance of studies optimization, technologies emerging as for enhancing resilience water-scarce regions. These insights underscore strategic role energies addressing vulnerabilities while supporting sustainable transitions. implications this work lie guiding future policy frameworks enhance security environmental sustainability.
Язык: Английский
Процитировано
1Results in Engineering, Год журнала: 2024, Номер 23, С. 102584 - 102584
Опубликована: Июль 20, 2024
Irrigation is a crucial component of the agriculture industry. The gross domestic output India about 15 % derived from its farmers. Crop failure common among farmers, primarily because inadequate irrigation techniques and irregular power water supplies. To begin with, survey farmers various parts was undertaken in this regard, results indicated that most them lacked an effective system. An inventive solar-powered system devised deployed to address problem includes automated Internet Things (IoT) This IoT system, which functions based on moisture content soil, plays role ensuring crops receive right amount at time. Furthermore, PV pumping addresses issues Indian climate conditions, including composite, warm humid, cold, moderate, hot, dry. locations chosen for these conditions are Jaisalmer Rajasthan, Bangalore Karnataka, Itanagar Arunachal Pradesh, Patna Bihar, Amaravati Andhra Pradesh. Performance ratios range 0.514 0.739, pump efficiencies 61 88.80 %, 57.10 %–58.60 respectively.
Язык: Английский
Процитировано
6