Design of Poly(Sodium 4-Styrenesulfonate)-Modified Sno2 Humidity Sensor For Visual Monitoring Of Plant Growth Environments DOI
Haiyang Zhang, Hongyan Zhang,

Zhenhong Jia

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Digital Economy Empowering Sustainable Rural Development: Exploring New Paths for the Coupling Coordinated Development of the Economy-Environment DOI

shiou liao,

Chunfang Yang, Yifeng Zhang

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Possible application of agricultural robotics in rabbit farming under smart animal husbandry DOI
Wei Jiang,

Hongyun Hao,

Hongying Wang

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145301 - 145301

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Design of humidity sensor based on poly(sodium 4-styrenesulfonate) modified SnO2 for visual monitoring of plant growth environments DOI
Haiyang Zhang, Hongyan Zhang,

Zhenhong Jia

и другие.

Journal of Colloid and Interface Science, Год журнала: 2025, Номер unknown, С. 137540 - 137540

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Study of Vegetable Farmers’ IoT Technology Adoption Decision Making Based on Heckman Model DOI Creative Commons
Lianying Li, Wenbin Li, Mingzhu Zhang

и другие.

Smart Agricultural Technology, Год журнала: 2025, Номер unknown, С. 101019 - 101019

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Activating the green revolution: farmland transfer and agricultural green technology innovation—evidence from China DOI

Shilong Meng,

Yanjun Jiang, Qiao Shi-yan

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Дек. 15, 2024

Язык: Английский

Процитировано

2

Nano-Food Farming Approaches to Mitigate Heat Stress under Ongoing Climate Change: A Review DOI Creative Commons
Hassan El-Ramady, József Prokisch, Mohammed E. El-Mahrouk

и другие.

Agriculture, Год журнала: 2024, Номер 14(5), С. 656 - 656

Опубликована: Апрель 24, 2024

Increased heat stress is a common feature of global climate change and can cause adverse impacts on crops from germination through maturation harvest. This review focuses the extreme (>35 °C) plants their physiology how they affect food water security. The emphasis what be done to minimize negative effects stress, which includes application various materials approaches. Nano-farming highlighted as one promising approach. Heat often combined with drought, salinity, other stresses, together whole agroecosystem, including soil, plants, water, farm animals, leading serious implications for resources. Indeed, there no single remedy or approach that overcome such grand issues. However, nano-farming part an adaptation strategy. More studies are needed verify potential benefits nanomaterials but also investigate any side-effects, particularly under intensive nanomaterials, problems this might create, nanotoxicity.

Язык: Английский

Процитировано

1

Research on Weed Reverse Detection Methods Based on Improved You Only Look Once (YOLO) v8: Preliminary Results DOI Creative Commons
Hui Liu,

Yushuo Hou,

Jicheng Zhang

и другие.

Agronomy, Год журнала: 2024, Номер 14(8), С. 1667 - 1667

Опубликована: Июль 29, 2024

The rapid and accurate detection of weeds is the prerequisite foundation for precision weeding, automation, intelligent field operations. Due to wide variety in their significant morphological differences, most existing methods can only recognize major crops weeds, with a pressing need enhance accuracy. This study introduces novel weed approach that integrates GFPN (Green Feature Pyramid Network), Slide Loss, multi-SEAM (Spatial Enhancement Attention Modules) accuracy improve efficiency. recognizes crop seedlings utilizing an improved YOLO v8 algorithm, followed by reverse through graphics processing technology. experimental results demonstrated model achieved remarkable performance, 92.9%, recall rate 87.0%, F1 score 90%. speed was approximately 22.47 ms per image. And when shooting from height ranging 80 cm 100 test, effect best. method addresses challenges posed diversity complexities image recognition modeling, thereby contributing enhancement automated weeding efficiency quality. It also provides valuable technical support farmland

Язык: Английский

Процитировано

1

Navigating Psychological Barriers in Agricultural Innovation Adoption: A Multi-Stakeholder Perspective DOI Creative Commons
Nopparuj Chindasombatcharoen, Naoum Tsolakis, Mukesh Kumar

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 143695 - 143695

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

Consumers' willingness-to-pay for dairy and plant-based milk alternatives towards sustainable dairy: A scoping review DOI Creative Commons
Pamela Madududu, Damien Jourdain, Duc Tran

и другие.

Sustainable Production and Consumption, Год журнала: 2024, Номер 51, С. 261 - 277

Опубликована: Сен. 26, 2024

Язык: Английский

Процитировано

1

Empowering sustainable development: revolutionizing agricultural green total factor productivity through rural digitalization DOI Creative Commons

Fanjun Zeng,

Yingying Zhou, Bin Wei

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2024, Номер 8

Опубликована: Дек. 4, 2024

Introduction The rapid advancement of digital technology has catalyzed the emergence “digital villages,” presenting both new opportunities and challenges for transformation agriculture. This become a core driving force behind sustainable agricultural development. paper utilizes panel data from 30 provincial-level administrative regions mainland China (excluding Tibet) period 2011 to 2020 explore how rural development (DRD) impacts green total factor productivity (AGTFP) examines its underlying mechanisms. Methods Regarding variable measurement, study employs entropy weighting method quantify DRD uses an extended Data Envelopment Analysis-Malmquist model assess AGTFP. For research approach, constructs two-way fixed effects evaluate impact on AGTFP explores Specifically, conducts benchmark regression analysis, endogeneity tests, robustness mechanism examinations, heterogeneity tests. Results (1) significantly enhances AGTFP, conclusion that remains robust following province-year clustering standard error estimates, winsorization excluding COVID-19-affected years. (2) Mechanistic analysis indicates primarily boosts by promoting inclusive finance (DIF) facilitating integration primary, secondary, tertiary industries (IPST). (3) Heterogeneity tests show positive is more pronounced in with higher levels informatization central China. Discussion To harness DRD’s potential effectively fostering development, policymakers should concentrate DIF IPST. Additionally, government pay close attention disparities resource allocation across develop targeted strategies accordingly. Fundamentally, this aims elucidate China’s efficacy digitalization agriculture international audience. It seeks provide insights guidance formulating scientific, efficient, worldwide, thereby growth supporting revitalization.

Язык: Английский

Процитировано

1