Sustainable development goals series, Journal Year: 2025, Volume and Issue: unknown, P. 277 - 287
Published: Jan. 1, 2025
Language: Английский
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, Journal Year: 2024, Volume and Issue: 9(4), P. 1196 - 1205
Published: Jan. 11, 2024
In the era of modern technology, object detection using Gray Level Co-occurrence Matrix (GLCM) extraction method plays a crucial role in recognition processes. It finds applications real-time scenarios such as security surveillance and autonomous vehicle navigation, among others. Computational efficiency becomes critical factor achieving detection. Hence, there is need for model with low complexity satisfactory accuracy. This research aims to enhance computational by selecting appropriate features within GLCM framework. Two classification models, namely K-Nearest Neighbours (K-NN) Support Vector Machine (SVM), were employed, results indicating that outperforms SVM terms complexity. Specifically, K-NN, when utilizing combination Correlation, Energy, Homogeneity features, achieves 100% accuracy rate Moreover, Energy K-NN attains an almost perfect level 99.9889%, while maintaining On other hand, despite certain feature combinations, its high or very can pose challenges, particularly applications. Therefore, based on trade-off between complexity, emerges more suitable choice demand provides valuable insights optimizing various requiring both rapid responsiveness.
Language: Английский
Citations
4
Journal of Experimental Agriculture International, Journal Year: 2024, Volume and Issue: 46(7), P. 219 - 231
Published: June 11, 2024
The agricultural sector is facing unprecedented challenges due to increasing food demand, environmental degradation, and labour shortages, exacerbated by a burgeoning global population. To address these issues sustainably, the concept of "smart farming" utilizing advanced robotics drones has emerged as transformative solution. This review paper delves into significant impact cutting-edge technologies on modern agriculture, focusing their applications, benefits, challenges, future prospects. Robotics in agriculture have considerably, playing crucial roles tasks such tillage, seeding, crop protection, harvesting, animal husbandry. latest robotic systems are equipped with artificial intelligence (AI) machine learning algorithms, enabling them perform complex high precision efficiency. These potential enhance productivity while minimizing impacts through farming techniques. Drones, similarly, revolutionized applications monitoring, spraying, mapping, surveillance. drone models multispectral sensors, GPS technology, AI-driven analytics, providing farmers real-time data actionable insights. helps optimizing resource use, improving health, yield reducing footprints. Despite advancements, several impede widespread adoption. High initial costs, technological curves, regulatory hurdles, security concerns remain barriers. Additionally, integration requires substantial infrastructure training, which can be daunting for small-scale farmers. emphasizes need strategic investments supportive policies overcome challenges. Collaborations between technology developers, experts, policymakers drive innovation facilitate adoption smart practices. hold immense revolutionize traditional By harnessing technologies, industry achieve sustainable solutions, enhancing ensuring future. provides comprehensive analysis current state directions farming, underscoring pivotal role transforming agriculture.
Language: Английский
Citations
4
Information Technology for Development, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22
Published: Jan. 8, 2025
This study examines the integration of digital economy with green agriculture in China, aiming to align technological advancements sustainable farming practices. Using a coupling coordination framework, it analyzes panel data from 2011 2020 across 31 provinces, tracking relationship (C-value) and balanced development (D-value) between systems. Findings show progress most increasing C D values, though regional disparities persist. Eastern provinces lead D-values due better infrastructure, adoption technology, rural incomes. The highlights need for targeted interventions proposes framework guide agricultural modernization revitalization.
Language: Английский
Citations
0
PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0315203 - e0315203
Published: Feb. 19, 2025
With the outbreak of global public health crisis in 2019, enhancing resilience regional economies has become current focal point. Existing studies have mostly focused on region itself, lacking exploration economic from aspects dynamics, multiple perspectives, and multidimensional integration. At same time, digital industry, as an emerging sector, should not only consider its impact development but also focus whether it can continuously effectively enhance level resilience, order to cope with crises that may arise at any time. Therefore, through empirical methods, we conducted a detailed study spatial correlation internal driving factors between industry aiming build more valuable theoretical framework based existing research findings explore strategy centered around industry. This paper, combining conclusions methods literature, attempts expand definition evaluation index system, relationship perspective evolutionary geography. article empirically examines data 30 provinces China 2014 2022 (excluding Tibet, Hong Kong, Macau, Taiwan due lack data). Firstly, this paper employs two-way fixed effects model examine direct resilience. The results indicate Secondly, role location, important aspect geography, is considered paper. Durbin used discover spillover under different location relationships. Finally, considers environmental regulations threshold variable levels regulation. when degree regulation less than 0.0011, empower enhancement levels. In conclusion, finds while emphasizing resilient economies, essential promote cooperation for mutual benefit win-win results. will accelerate transformation enterprises, optimize industrial structures, achieve green development.
Language: Английский
Citations
0
Sustainable development goals series, Journal Year: 2025, Volume and Issue: unknown, P. 277 - 287
Published: Jan. 1, 2025
Language: Английский
Citations
0