Results 161 to 170 of about 19,223 (223)
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah +4 more
wiley +1 more source
A Global Dataset of Bathymetric Features Identified with Prominence and Isobaths Analysis. [PDF]
Souche A, Hartz EH, Schmid DW.
europepmc +1 more source
ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley +1 more source
Detection and Monitoring of Topography Changes at the Tottori Sand Dune Using UAV-LiDAR. [PDF]
Liu J +5 more
europepmc +1 more source
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 +2 more
wiley +1 more source
Wealth and land-cover change govern landslide fatalities on world's mountains. [PDF]
Fidan S +4 more
europepmc +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Integrating MIKE model simulations with CNNs for rapid and accurate urban flood prediction. [PDF]
Chen J, Tian Y, Zhang L, Wang H.
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source

