A Review of Deep Learning Applications for Sustainable Water Resource Management DOI Creative Commons
Tipon Tanchangya, Asif Raihan, Junaid Rahman

et al.

Global Sustainability Research, Journal Year: 2024, Volume and Issue: unknown, P. 48 - 73

Published: Nov. 24, 2024

Deep learning (DL) techniques and algorithms have the capacity to significantly impact world economies, ecosystems, communities. DL technologies been utilized in development administration of urban structures. However, there exists a dearth literature reviewing present level these applications exploring potential directions which can address water challenges. This study aims review demand projections, leakage detection localization, drainage defect blockage, cyber security wealth surveillance, wastewater recycling management, safety prediction, rainfall conversation, irrigation regulation. The application is currently its early stages. Most studies adopted standard networks, simulated information, experimental or prototype settings evaluate efficacy approaches. no reported instances practical adoption. Compared other reviewed problems, being implemented practically daily operations handling facilities. major challenges for deployment management include algorithmic development, multi-agent platforms, virtual clones, data quality availability, security, context-aware analysis, training efficiency. We validate our by using several case that employ treatment. Prospective exploration systems are anticipated advance toward increased cognition flexibility. research encourage further utilizing feasible usage digitalization global sector.

Language: Английский

Suitability analysis for agroforestry in District Hamirpur of Himachal Pradesh, India by using AHP method DOI
Avinash Kumar Bhatia,

Saakshi Chauhan,

K. S. Pant

et al.

Agroforestry Systems, Journal Year: 2025, Volume and Issue: 99(2)

Published: Feb. 1, 2025

Language: Английский

Citations

0
Future Prospects and Emerging Trends in Agroforestry Research DOI
Tharindu D. Nuwarapaksha, Shashi S. Udumann, Nuwandhya S. Dissanayaka

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 497 - 518

Published: Feb. 28, 2025

Agroforestry, the practice of integrating trees with crops and livestock, is gaining prominence as a sustainable land management approach. This chapter explores future prospects emerging trends in agroforestry research, highlighting its potential to address global challenges. Recent developments include advanced modeling tools for predicting tree-crop interactions, genetic improvements tree crop species, application precision agriculture techniques. Emerging technologies such remote sensing, GIS, modifications are enhancing efficiency productivity systems. Innovative practices like climate-smart agroforestry, urban vertical farming integration, use degraded restoration expanding scope applicability these These approaches offer solutions climate change mitigation, biodiversity conservation, food security, rural livelihood improvement. The research emphasizes importance interdisciplinary approaches, ecological principles, agricultural economics, science models, soil hydrology. collaborations crucial comprehensive understanding optimization Policy implications need incentives promote adoption, prioritization funding, integration policies, enhancement education extension services. measures essential widespread implementation success practices. As continues evolve, it presents promising avenue use, addressing multiple challenges simultaneously while promoting balance socio-economic development.

Language: Английский

Citations

0
Suitability mapping of agroforestry in Shimla district, Himachal Pradesh, India, using analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (Fuzzy AHP) DOI

Saakshi,

D. R. Bhardwaj

Agroforestry Systems, Journal Year: 2025, Volume and Issue: 99(5)

Published: May 2, 2025

Language: Английский

Citations

0
Sustainable Food Systems Through Livestock–Pasture Integration DOI Creative Commons
Monde Rapiya, Mthunzi Mndela, Abel Ramoelo

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(9), P. 967 - 967

Published: April 29, 2025

The world’s population is projected to rise significantly, which poses challenges for global food security due increased demand food, especially from livestock products. As incomes grow in lower-income countries, there a shift towards more diverse diets that include meat and dairy, stressing our agricultural systems. Livestock plays crucial role production, contributing about 16% of dietary energy, effective pasture management vital enhancing productivity. This review explores how integrating can create sustainable systems improve nutrition livelihoods. It assesses the economic viability pasture-based examines climate change affects both productivity performance. also identifies innovative practices, such as improved grazing technological advancements, health output. findings underscore importance well-managed pastures, restore degraded lands, animal welfare, support security. highlights adaptation strategies are necessary address posed by change, ensuring remain sustainable. By focusing on practices better management, we meet growing products while preserving ecosystems promoting stability. Overall, this emphasizes need holistic understanding work together enhance changing world.

Language: Английский

Citations

0
The Green Revolution: Promoting Environmental Stewardship and Plant Growth DOI

Zakir Ullah,

Javed Iqbal, Banzeer Ahsan Abbasi

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
A Review of Deep Learning Applications for Sustainable Water Resource Management DOI Creative Commons
Tipon Tanchangya, Asif Raihan, Junaid Rahman

et al.

Global Sustainability Research, Journal Year: 2024, Volume and Issue: unknown, P. 48 - 73

Published: Nov. 24, 2024

Deep learning (DL) techniques and algorithms have the capacity to significantly impact world economies, ecosystems, communities. DL technologies been utilized in development administration of urban structures. However, there exists a dearth literature reviewing present level these applications exploring potential directions which can address water challenges. This study aims review demand projections, leakage detection localization, drainage defect blockage, cyber security wealth surveillance, wastewater recycling management, safety prediction, rainfall conversation, irrigation regulation. The application is currently its early stages. Most studies adopted standard networks, simulated information, experimental or prototype settings evaluate efficacy approaches. no reported instances practical adoption. Compared other reviewed problems, being implemented practically daily operations handling facilities. major challenges for deployment management include algorithmic development, multi-agent platforms, virtual clones, data quality availability, security, context-aware analysis, training efficiency. We validate our by using several case that employ treatment. Prospective exploration systems are anticipated advance toward increased cognition flexibility. research encourage further utilizing feasible usage digitalization global sector.

Language: Английский

Citations

0