Proceedings

Find matching any: Reset
Ard, K
Alvim Santos Romani, L
Alves, T.C
Auzani Biscaino, M.L
Add filter to result:
Authors
Bernardi, A
Garcia, A.R
Guimarães, E.S
Tonato, F
Medeiros, S.R
Barioni Jr., W
Portugal, J.B
Alves, T.C
Cavalcante, W.P
Serão Filho, M
Gaioli Jr, C
Subramoni, H
Murumkar, A
Ard, K
Shearer, S.A
Radhakrishnan, A
Fulton, J.P
Mundada, K
Rodigheri, G
da Silva, J
Alvim Santos Romani, L
Garcia Arnal Barbedo, J
Mullich, A
Maldaner, I
, L
Wendt, L
Turchiello, J
Noal Santarem, M
Auzani Biscaino, M.L
Topics
Precision Dairy, Livestock, and Animal Welfare Monitoring
Digital Solutions for Soil Health, Water Quality, and Conservation Practices
Remote and Proximal Sensing of Soils and Crops
Type
Oral
Poster
Year
2026
Home » Authors » Results

Authors

Filter results4 paper(s) found.

1. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time Monitoring

Brazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low-productivity... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr

2. Probfuse Dashboard: Uncertainty-aware Geospatial Fusion For Climate-smart Conservation Recommendations In The Maumee River Basin

Nutrient losses from tile-drained row crops in the Maumee River Basin remain a primary driver of harmful algal blooms in western Lake Erie, despite expanding conservation programs and cost-share incentives like the Environmental Quality Incentives Program (EQIP). Existing tools rely on static look-up tables or county averages, lacking probabilistic fusion of multi-source data or uncertainty estimates. This hinders field staff and producers from integrating soils, climate and program rules under... H. Subramoni, A. Murumkar, K. Ard, S.A. Shearer, A. Radhakrishnan, J.P. Fulton, K. Mundada

3. Assessing the Potential of Google Satellite Embeddings for Mapping Sugarcane in Brazilian Production Areas

The increasing availability of remote sensing (RS) data with higher spatial resolution, combined with advances in artificial intelligence (AI), has been an essential tool in driving the development of the agricultural sector, such as precision agriculture (PA). Among the most relevant information derived from these approaches, crop mapping plays an essential role in crop monitoring, management strategies and yield forecasting. However, the large amount of data required for training classification... G. Rodigheri, J. Da Silva, L. Alvim Santos Romani, J. Garcia Arnal Barbedo

4. Digital Terrain Modeling and Topographic Smoothing for Levee Optimization in Irrigated Rice Areas Using AgroCAD® and T3rra Cutta©

The systematization of lowland areas intended for irrigated rice production requires precise topographic planning to ensure efficiency in water management and operational performance of agricultural activities. Traditional land leveling methods are often based on empirical approaches, which may result in excessive soil movement and inefficient levee configurations. Advances in Precision Agriculture have enabled the integration of high-precision GNSS positioning with digital terrain modeling tools,... A. Mullich, I. Maldaner, L. , L. Wendt, J. Turchiello, M. Noal Santarem, M.L. Auzani Biscaino