Results 121 to 130 of about 643,688 (353)

Textural classification of land cover using support vector machines : an empirical comparison with parametric, non parametric and hybrid classifiers in the Bolivian Amazon [PDF]

, 2011
Land cover classification is a key research field in remote sensing and land change science as thematic maps derived from remotely sensed data have become the basis for analyzing many socio-ecological issues.
Cristóbal, Jordi, Guèze, Maximilien, Luz, Ana Catarina, Macía, Manuel, Mas, Jean-François, Moré, Gerard, Orta-Martínez, Martí, Paneque-Gálvez, Jaime, Reyes-García, Victoria, Universitat Autònoma de Barcelona, Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals   +10 more
core  

How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency

Agribusiness, EarlyView.
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan, Orkhan Sariyev, Mohammad Ariful Islam, Manfred Zeller   +3 more
wiley   +1 more source

Agricultural Diversification at the Margin. Strategies and Determinants in Italian Mountain and Remote Areas

Agribusiness, EarlyView.
ABSTRACT This paper explores the convergence in on‐farm diversification strategies of agricultural holdings, between remote areas and more central ones. Using Italian farm‐level data, we explore the determinants of diversification strategies across farms.
Gianluca Grilli, Francesco Pagliacci, Paola Gatto   +2 more
wiley   +1 more source

A deep inverse convolutional neural network-based semantic classification method for land cover remote sensing images

Scientific Reports
The imbalance of land cover categories is a common problem. Some categories appear less frequently in the image, while others may occupy the vast majority of the proportion. This imbalance can lead the classifier to tend to predict categories with higher
Ming Wang, Anqi She, Hao Chang, Feifei Cheng, Heming Yang   +4 more
doaj   +1 more source

Improving Hyperspectral Image Classification Method for Fine Land Use Assessment Application Using Semisupervised Machine Learning

Journal of Spectroscopy, 2015
Study on land use/cover can reflect changing rules of population, economy, agricultural structure adjustment, policy, and traffic and provide better service for the regional economic development and urban evolution.
Chunyang Wang, Zengzhang Guo, Shuangting Wang, Liping Wang, Chao Ma   +4 more
doaj   +1 more source

Reklasifikasi Peta Penutupan Lahan untuk Meningkatkan Akurasi Kerentanan Lahan

Jurnal Wilayah dan Lingkungan, 2017
Land vulnerability is an important information to formulate land rehabilitation activities since it indicates the response of that particular land to erosion. It was determined by several factors such as slope, soil types, rainfall, and land cover.
Endang Savitri, Irfan Budi Pramono
doaj   +1 more source

Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance [PDF]

, 2019
Fei Sun, Run Wang, Bo Wan, Yanjun Su, Qinghua Guo, Youxin Huang, Xincai Wu   +6 more
openalex   +1 more source

Sustainability Strategies in the Cocoa‐Chocolate Value Chain: An Analysis Using Stakeholder Theory, Global Value Chain Theory, and Resource Dependence Theory

Agribusiness, EarlyView.
ABSTRACT The cocoa‐chocolate value chain faces significant environmental and social challenges, driving firms to adopt sustainability strategies ranging from individual practices to third‐party certifications. This study investigates the factors associated with these strategies by analyzing 304 cocoa‐chocolate companies using firm‐level data from the ...
Stella Marschner, Luigi Orsi, Alessandro Olper, Stefanella Stranieri   +3 more
wiley   +1 more source

A SEMI-AUTOMATIC RULE SET BUILDING METHOD FOR URBAN LAND COVER CLASSIFICATION BASED ON MACHINE LEARNING AND HUMAN KNOWLEDGE [PDF]

, 2017
Haiyan Gu, H. T. Li, Zehao Liu, Chongjian Shao   +3 more
openalex   +1 more source

Does ESG Matter for Unlisted Companies in the Agri‐Food Industry? Evidence From Japan's Unlisted Agri‐Food Companies

Agribusiness, EarlyView.
ABSTRACT While ESG (environmental, social, and governance) is emphasized among listed companies for their stakeholders and ESG disclosures, ESG engagement among unlisted companies has been rarely examined due to data limitations. This is particularly problematic for the agri‐food industry that has significant impacts on the environment and consists ...
Ying Wang, Satoru Shimokawa
wiley   +1 more source