Smart screening, detection, warning, and control of 3R food hazards and their potential social science impacts DOI
Jiahui Chen, Anet ­Režek ­Jambrak, Yang Dai

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 156, P. 104814 - 104814

Published: Dec. 4, 2024

Language: Английский

Assessing the influence of sociodemographic factors on biofloc technology adoption for sustainable water management in aquaculture: the case of shrimp farmers in Jiangsu and Shandong provinces, China DOI
Kodjo N’Souvi,

Jingwei Sun,

Yu Si

et al.

Aquaculture International, Journal Year: 2025, Volume and Issue: 33(2)

Published: Jan. 17, 2025

Language: Английский

Citations

1

Advancing climate-smart agriculture: integrating technology, behavioural insights and policy for a sustainable future DOI Creative Commons
Marilena Gemtou, Gohar Isakhanyan,

Spyros Fountas

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100861 - 100861

Published: March 1, 2025

Language: Английский

Citations

0

Climate Change Risks and Adaptation Among Cassava Value Chain Actors in Southeast Nigeria DOI

Chukwudi Loveday Njoku,

Chibuzo Uzoma Izuogu,

Igwe Oscar Obasi

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Hard and soft climate-smart investments in aquaculture in Bangladesh: Conditioning factors and decision space DOI Creative Commons
T.S. Amjath-Babu, Peerzadi Rumana Hossain,

Sanzida Akhter Anee

et al.

Climate Services, Journal Year: 2024, Volume and Issue: 37, P. 100527 - 100527

Published: Dec. 2, 2024

Language: Английский

Citations

1

Small Farmer’s Perceptions of Climate Change and Adoption of Climate-Smart Practices: Evidence from Missouri, USA DOI Open Access
Rui Chen, Ye Su, Lan Tran

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9525 - 9525

Published: Nov. 1, 2024

Using survey data of Missouri small producers in 2022, this paper explores their perceptions climate change and factors affecting adoption climate-smart practices. A synthesized perception (CCP) index is developed to assess the effects cognition social demographics on practices (CSPs) adoption. The results show that 86.0% participants have relatively high change, 82.0% adopted at least one practice; higher index, more likely will adopt findings encourage education knowledge related relationship between agriculture, how CSPs can reduce change. Specifically, we find specialty crop are than other producers; a one-unit increase CCP CSP rate by 4.61% for livestock 2.61% organic producers, suggesting relevant programs be tailored needs farmers improve rates CPSs. Further, resources needed support who reside severely – impacted areas sustainable production sustainability.

Language: Английский

Citations

0

Smart screening, detection, warning, and control of 3R food hazards and their potential social science impacts DOI
Jiahui Chen, Anet ­Režek ­Jambrak, Yang Dai

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 156, P. 104814 - 104814

Published: Dec. 4, 2024

Language: Английский

Citations

0