Results 121 to 130 of about 24,634 (305)

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Digital Soil Mapping

, 2008
Digital soil mapping is the creation of a spatial soil information system using field and laboratory observation methods coupled with quantitative spatial prediction techniques.
BUDIMAN Minasny, CARRE' Florence, MCBRATNEY Alex   +2 more
core  

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
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

The Role of Digital Soil Mapping in Soil Survey and Agricultural Planning

Digital Soil Mapping (DSM) is an essential tool for soil survey and agricultural planning. It involves creating and populating spatial soil information using field and laboratory observations, often referred to as "predictive soil mapping" or "pedometric
Wani, Towseef.A., Hussain, Syed. Shujat., Dar, Waseem A., Hadayatullah, Md, Parrey, Gowhar.N., Ganie, Ajaz.A., Mugloo, Javeed.A., Baba, Jahangeer.A., Dar, Rukhsar.A   +8 more
core   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Impact of Digital Ability and Rice Technology Adoption on Rice Farming Performance in Benin

Agribusiness, EarlyView.
ABSTRACT This study examines the combined effects of digital ability and the adoption of various rice technologies among smallholder rice farmers, using GPS‐spatially matched data sources that include household surveys and a general census of rice value chain actors in Benin.
Landry Bellarmin Kassa, Takeshi Sakurai
wiley   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Digital Soil Mapping for Agri-Environmental Management and Sustainability

Land
This Special Issue, entitled “Digital Soil Mapping for Agri-Environmental Management and Sustainability”, gathers nine studies from around the globe that illustrate how digital soil mapping (DSM) is being applied to support agri-environmental management ...
Zamir Libohova, Kabindra Adhikari, Subramanian Dharumarajan, Michele Duarte de Menezes   +3 more
doaj   +1 more source

Digital soil mapping in Finland : parent material and wetness approach

, 2004
vokmkfmp
Lilja, Harri, Nevalainen, Raimo
core  

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source