Results 111 to 120 of about 89,908 (279)

Economic and Environmental Tradeoffs in Cultivating Short Food Supply Chains With Urban Indoor Agriculture

open access: yesAgribusiness, EarlyView.
ABSTRACT This study advances the literature on sustainable urban agriculture and alternative sustainable food production systems, which have gained momentum due to the need to strengthen regional food supply chains and meet the growing urban demand for fresh food. Indoor agriculture (IA) holds promise for year‐round cultivation of fresh produce even in
Joseph Seong   +2 more
wiley   +1 more source

Spatial clustering based on geographically weighted multivariate generalized gamma regression

open access: yesMethodsX
Geographically Weighted Regression (GWR) is one of the local statistical models that can capture the effects of spatial heterogeneity. This model can be used for both univariate and multivariate responses.
Hasbi Yasin, Purhadi, Achmad Choiruddin
doaj   +1 more source

Regional patterns of Romanian emigration. A Geographically Weighted Regression Model [PDF]

open access: yesRevista Romana de Economie, 2018
Analyses of emigration flows and their factors of influence are usually conducted at aggregate country level, thus ignoring the existence of large regional inequalities.
Zizi GOSCHIN
doaj  

Penentuan Model Kemiskinan Di Jawa Tengah Dengan Multivariate Geographically Weighted Regression (Mgwr) [PDF]

open access: yes, 2015
The problem of poverty is a fundamental problem faced in a number of regions in Indonesia, to determine significant indicators on poverty by taking into account the spatial variation in the province of Central Java can use multivariate models ...
Ispriyanti, D. (Dwi)   +2 more
core  

Multiscale geographically weighted quantile regression

open access: yesSpatial Economic Analysis
Spatial heterogeneity across multiple scales is a common issue in various disciplines including economics and public health. Geographically weighted quantile regression (GWQR) addresses this by assuming the same spatial scale for all modelled processes at each quantile.
Allaa H. Elkady   +2 more
openaire   +1 more source

Assessing Haitian Consumers' Willingness to Pay a Premium for Aflatoxin‐Compliant Peanut Butter in the Informal Market

open access: yesAgribusiness, EarlyView.
ABSTRACT Market‐based solutions are increasingly tested to address aflatoxin issues in peanuts in developing countries. Although previous studies have found that Haitian grocery store shoppers are willing to pay a 21% premium for peanut butter with levels of aflatoxin that meet international standards, no information is available for the much larger ...
Phendy Jacques   +2 more
wiley   +1 more source

Impact of Sustainable Agricultural Practices on Labor Use Among Rice Farmers in the Mekong Delta of Vietnam

open access: yesAgribusiness, EarlyView.
ABSTRACT The Mekong Delta (MKD), Vietnam has achieved high rice productivity through rapid intensification. However, this progress has led to environmental degradation and adverse economic and health effects. To mitigate these challenges, sustainable agricultural practices (SAPs) have been promoted.
Nguyen Thi Thu Hien   +5 more
wiley   +1 more source

The Role of Certifications in Improving Household Food Security Among Peruvian Farmers

open access: yesAgribusiness, EarlyView.
ABSTRACT Achieving global food security requires sustainable transformations in agri‐food systems. Voluntary Sustainability Standards (VSS) such as Organic and Fairtrade aim to internalize certain social and environmental costs while promoting more equitable value distribution, improved market access, and sustainable production practices.
Lisa‐Marie Schulte, Awudu Abdulai
wiley   +1 more source

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

Population Estimation Using Geographically Weighted Regression

open access: yesGIScience & Remote Sensing, 2008
In view of the variability in the accuracy of the land use/cover data derived from satellite data, population estimation using a global ordinary linear regression (OLS) model cannot deal with the spatial non-stationarity problem. This research applied a local geographically weighted regression (GWR) model using four land use area variables (high ...
openaire   +1 more source

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