Assessing the impact of various irrigation technologies on agricultural production: A water-energy‑carbon nexus perspective DOI

Sifu Liu,

Simeng Cui,

Jan Adamowski

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 954, P. 176809 - 176809

Published: Oct. 10, 2024

Language: Английский

Unmanned aerial vehicles (UAVs): an adoptable technology for precise and smart farming DOI Creative Commons

Sujith Makam,

Bharath Kumar Komatineni,

Sanwal Singh Meena

et al.

Discover Internet of Things, Journal Year: 2024, Volume and Issue: 4(1)

Published: Sept. 9, 2024

Language: Английский

Citations

10

Land productivity and environmental sustainability for G7 economies: Does an inverted U‐shaped curve exhibit green finance? DOI Open Access
Zeeshan Khan, Ramez Abubakr Badeeb, Sher Ali

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Abstract Land productivity including both water and agriculture are equally important for sustainable environment. The study investigate the role of land along with non‐linear effect green finance on Specifically, this research aims to land, productivity, finance, environmental taxes technologies sustainability in Group Seven (G7) countries, covering timeframe 1990–2020. also scrutinized innovation regulations This uses novel panel data methods that robust nonparametric data. empirical confirmed be nonnormally distributed; therefore, quantile regression approach is used. results an inverted U‐shaped curve as its linear term positive, nonlinear negatively impacts carbon emissions. supports idea effective a group seven economies; however, magnitude should increase. Moreover, agricultural regulations, impact By contrast, increasing economic activities, such gross domestic product, increase recommends focus G7 countries achieve target COP 27 address climate change.

Language: Английский

Citations

1

Future climate change will strengthen cotton production but have substantial environmental costs—A focus on Xinjiang by APSIM modelling DOI
Huiping Zhou,

Jiabao Chen,

X. X. Ding

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144803 - 144803

Published: Jan. 1, 2025

Language: Английский

Citations

1

Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review DOI Creative Commons

Bryan Nsoh,

Abia Katimbo, Hongzhi Guo

et al.

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

Optimal irrigation for wheat-maize rotation depending on precipitation in the North China Plain: Evidence from a four-year experiment DOI Creative Commons
Lei Yang,

Xiang‐Yang Fang,

Jie Zhou

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 294, P. 108726 - 108726

Published: Feb. 16, 2024

The North China Plain (NCP) is a remarkable agricultural area with severe water scarcity and uneven precipitation, especially in wheat season. Optimizing irrigation strategies to increase productivity (WP) achieve higher yield winter wheat-summer maize rotation urgently needed has been persistent challenge. A four-year field experiment was conducted explore the impact of on WP subsequent under different precipitation year types (dry normal years, categorized based cumulative from sowing jointing stage (P1)). Four (W0, no irrigation; W1, pre-sowing W2, + W3, anthesis irrigation) were adopted for wheat, identical operations applied maize. Results showed that affected by P1 rather than total precipitation. Irrigation improved enhancing evapotranspiration, spike number, grain 1000-seed weight. water-limited gap between W2 W1 significantly those W0, W3 implying suitable strategy production. Different season had effect but increased 13.2–29.3% 16.1–41.8% compared other treatments through decreasing soil storage before dry years. Therefore, we recommended annual yield, WP, net income years (37.6 mm < 79.9 mm); lower consumption economic benefits (P1 37.6 mm), respectively. Overall, optimizing conditions an effective cope resource shortages crop NCP.

Language: Английский

Citations

6

Subsurface drip irrigation mitigated greenhouse gas emission and improved root growth and yield in apple in semi-arid region DOI Creative Commons
Jiabin Liu, Xiaodong Gao,

Juanjuan Song

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 308, P. 109290 - 109290

Published: Jan. 8, 2025

Language: Английский

Citations

0

Greenhouse gas emissions (GHGE), water footprint and nitrogen loss associated with food consumption among adults: findings from the updated LEBANese natiONal food consumption survey (LEBANON-FCS) DOI Creative Commons
Maha Hoteit, Maroun Khattar, Esraa Antar

et al.

BMC Nutrition, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 27, 2025

Abstract Background Lebanon is grappling with numerous environmental challenges, including water scarcity, landfill waste, deforestation, and rising air pollution. Food choices significantly influence global greenhouse gas emissions impacts, making it crucial to evaluate the footprints (EFPs) of Lebanon’s current dietary habits. This study aimed assess food consumption patterns their EFPs among a nationally representative sample Lebanese adults. Methods A cross-sectional survey was conducted from May September 2022, involving 444 adults aged 18 64 years. The representative, participants were distributed across eight governorates. Sociodemographic medical data collected via questionnaire, assessed through validated Frequency Questionnaire (FFQ) two non-consecutive 24-hour recalls, anthropometric measurements also taken. derived databases repositories. Results typical an average adult included usage 2,862.39 ± 1,617.88 L/day, 4.43 2.29 kg CO2-eq/day, nitrogen use 12.72 6.76 g/day. Animal products primary contributors emissions, while vegetable had highest footprint loss impact on environment. Grains cereals, most consumed category, influenced loss. Additionally, meat notably drove emissions. Conclusion must address its challenges EFPs. By evaluating understanding consequences patterns, can take proactive steps towards promoting sustainable practices mitigating degradation.

Language: Английский

Citations

0

A multi-objective synergistic optimization model considering the water-energy-food-carbon nexus and bioenergy DOI Creative Commons
Gaiqiang Yang, Yuxin Su, Lijuan Huo

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109431 - 109431

Published: March 18, 2025

Language: Английский

Citations

0

Enhancing nitrogen fertilizer productivity in cotton fields in southern Xinjiang by improving the soil microenvironment through water and nitrogen management DOI Creative Commons
Fengnian Zhao, Weixiong Huang, Xin Zhao

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109442 - 109442

Published: March 23, 2025

Language: Английский

Citations

0

Food trade of China saved global land but increased water appropriation and carbon emissions from 2010 to 2020 DOI Creative Commons
Meng Li, Huijun Wu,

Hongrong Huang

et al.

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100222 - 100222

Published: April 1, 2025

Language: Английский

Citations

0