Aerial imagery-based tobacco plant counting framework for efficient crop emergence estimation DOI

Ramsha Shahid,

Waqar S. Qureshi, Umar Shahbaz Khan

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 217, С. 108557 - 108557

Опубликована: Янв. 4, 2024

Язык: Английский

Determinants of access to clean fuels and technologies for cooking in Africa: A panel autoregressive distributed lag approach DOI
Robert Ugochukwu Onyeneke, Nneka Maris Chidiebere‐Mark, Daniel Adu Ankrah

и другие.

Environmental Progress & Sustainable Energy, Год журнала: 2023, Номер 42(3)

Опубликована: Апрель 12, 2023

Abstract Clean cooking fuels and technologies remain essential in addressing the climate crises, environmental degradation, deforestation, air pollution, health complications, poverty. Nevertheless, many countries Africa lack access to clean for cooking. The extant literature remains scarce on determinants of using macroeconomic indicators covering African a single study. This article addresses this gap panel data from 38 countries. paper shows that rural population, particulate matter emission, natural resources depletion significantly decreased long run while gross domestic product (GDP) per capita increased Africa. results show bi‐causal relationship between GDP capita, resource depletion, emissions damage. Understanding will expand insights into challenges associated with emission damages. Governments should target improvements promote advocacies, advocate investments address limited technologies, particularly poor.

Язык: Английский

Процитировано

29

Determination of optimal daily light integral (DLI) for indoor cultivation of iceberg lettuce in an indigenous vertical hydroponic system DOI Creative Commons

Kishor P. Gavhane,

Murtaza Hasan, Dhirendra Kumar Singh

и другие.

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Июль 5, 2023

The indoor cultivation of lettuce in a vertical hydroponic system (VHS) under artificial lighting is an energy-intensive process incurring high energy cost. This study determines the optimal daily light integral (DLI) as function photoperiod on physiological, morphological, and nutritional parameters, well resource use efficiency iceberg (cv. Glendana) grown VHS. Seedlings were 12 h, 16 20 h with photosynthetic photon flux density (PPFD) 200 µmol m

Язык: Английский

Процитировано

28

Barriers to commercial deployment of biorefineries: A multi-faceted review of obstacles across the innovation chain DOI Creative Commons
Denzel Christopher Makepa, Chido Hermes Chihobo

Heliyon, Год журнала: 2024, Номер 10(12), С. e32649 - e32649

Опубликована: Июнь 1, 2024

Realizing integrated biorefineries producing multiple fuels, chemicals and materials from sustainable biomass feedstocks holds promise for transitioning industries onto low-carbon trajectories. However, widespread commercial implementation remains elusive despite two decades of technological advancements. This review synthesizes current literature to provide a comprehensive analysis key multi-dimensional barriers inhibiting the scale-up biorefineries. The discusses technical challenges around conversion processes. Economic viability concerns such as high capital costs lack market competitiveness are also assessed. evaluates regulatory policy complexities that poses risks uncertainties in scaling up Socio-political acceptance hurdles including community engagement public perception reviewed. interconnected nature these is emphasized strategies recommended enable full potential realization, covering areas enhanced stakeholder collaboration, advanced process intensification, supportive frameworks, innovative financing models strategic marketing initiatives. International pilots cross-sectoral knowledge exchange highlighted priority enablers. In conclusion, this insights extensive demonstration efforts identify priorities pathways accelerating global transition towards biorefinery implementation. It aims inform decision-making collaborative actions amongst stakeholders research, industry domains.

Язык: Английский

Процитировано

17

A Study of Factors Influencing Happiness in Korea: Topic Modelling and Neural Network Analysis DOI Creative Commons
Ji-Hyun Jang,

Nemoto Masatsuku

Data & Metadata, Год журнала: 2024, Номер 3, С. 238 - 238

Опубликована: Фев. 16, 2024

The aim of this study is to derive the important factors that influence levels happiness in Korea, and identify which are particularly among these influencing factors. To achieve goal, topic modelling analysis, machine learning analysis neural network methods were utilized. Netminer 4.5 program was used for SPSS MODELER 18 perform analysis. Two types data study. first consisted 1 000 papers relating published academic journals managed by Springer publishing company, happiness-influencing second a survey conducted 2020 Community Well-being Center Graduate School Public Administration at Seoul National University Korea. A total 16 655 people responded survey. results as follows. Important variables affect level Korean residents are: family life, social status, income, health, perceptions inequality. Analysis using most showed satisfaction with life had influence. This suggests policies can improve quality such family-friendly work environments, childcare support, domestic violence prevention response programmes, will become future

Язык: Английский

Процитировано

14

Aerial imagery-based tobacco plant counting framework for efficient crop emergence estimation DOI

Ramsha Shahid,

Waqar S. Qureshi, Umar Shahbaz Khan

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 217, С. 108557 - 108557

Опубликована: Янв. 4, 2024

Язык: Английский

Процитировано

13