Proceedings

Find matching any: Reset
Melo, M.D
Bastos, L.M
Add filter to result:
Authors
Bhattarai, A
Jakhar, A
Poudel, K
Dhaliwal, A.K
Bastos, L.M
Melo, M.D
Paiva, C.M
Oliveira, A.L
Maciel, F.N
Siqueira , G.C
Borges , M.R
Furtado, G.S
Leme, P.M
Bhattarai, A
Jakhar, A
Poudel, K
Dhaliwal, A
Bastos, L.M
Topics
Weather, Climate Models, and Smart Forecasting for Agriculture
Drivers and Barriers to Adoption of Precision and Digital Technologies
Decision Support Systems, Cloud Platforms, and Open Data Solutions
Type
Poster
Oral
Year
2026
Home » Authors » Results

Authors

Filter results3 paper(s) found.

1. Evaluation of Kriging Models and Variogram Structures for Daily Weather Interpolation Across Georgia, United States

Spatial interpolation fills gaps between scattered weather stations to create continuous maps of variables like temperature. In Georgia, USA—a state with rolling hills in the north, coastal plains in the south, and the Appalachian foothills—this process is vital for accurate climate monitoring, irrigation scheduling, and crop-yield forecasting. Without reliable grids, downstream models suffer from bias or uncertainty. This study aimed to assess...

2. Digital Agriculture in Dairy Farming: Connectivity Diagnosis and Barriers to Technology Adoption in an Agrotechnological District

The integration of digital tools and communication systems has underpinned a profound transformation in global production chains, aiming to optimize farm operations through technological innovation. Within this context, the present study forms part of the Semear Digital project, coordinated by Embrapa, and is grounded in the premise that digital inclusion constitutes an indispensable strategy for the sustainability and competitiveness of contemporary dairy farming. The primary objective... M.D. Melo, C.M. Paiva, A.L. Oliveira, F.N. Maciel, G.C. Siqueira , M.R. Borges , G.S. Furtado, P.M. Leme

3. AgGeoSampler: A Geospatial Open-Source Data Acquisition and Sampling Design Dashboard for Agricultural Applications

Modern agricultural and environmental research increasingly depends on high-resolution geospatial data to support precise, site-specific decision-making. Advances in satellite remote sensing, unmanned aerial systems, and digital soil mapping have generated vast spatial datasets that capture fine-scale variability in vegetation health, soil properties, and terrain attributes. However, translating this wealth of information into effective field-sampling... A. Bhattarai, A. Jakhar, K. Poudel, A. Dhaliwal, L.M. Bastos