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Dias, E.M
Grant, R
Fruchtenicht, D.A
Urbina Salazar, D
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Authors
Estrada, E
Phillips, S
Grant, R
Videira Menezes, J
Dias, E.M
Rebello Pinho Dias Scoton, M.L
Oliveira, D.H
Mendes Gaya Lopes dos Santos, I
Stallivieri, F
Cunha de Sousa, L
Urbina Salazar, D
Yatskul, A
Pinet, F
Dujany, A
Ugarte, C
Gonçalves, L.M
Vasconcellos Lopes, B
Gallo, B.B
La Rosa, A
Fruchtenicht, D.A
Miler, C
Silveira, P
Carreno, N.L
Topics
Digital Solutions for Soil Health, Water Quality, and Conservation Practices
Precision Agriculture for Sustainability and Environmental Protection
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Precision Agriculture for Global Food Security
Type
Poster
Oral
Year
2026
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1. Spatial and Temporal Variability of Soil Health Scores and their Relationship to Crop Yield

Soil health is the continued capacity of the soil to function as a vital living ecosystem that sustains plants, animals, and humans. To assess and evaluate soil health, the Comprehensive Assessment of Soil Health (CASH) was established. In CASH, different soil health indicators are used to assign a score. These indicators are soil properties that can vary spatially and temporally. In this study, soil health scores were determined across a landscape to... E. Estrada, S. Phillips, R. Grant

2. Embrapii: What Can We Learn About Precision Agriculture and Environmental Sustainability After Investments of US$100 Million+ in Agricultural Industrial Innovation in Brazil?

Innovation policies have increasingly targeted digital and sustainable transformation, yet systematic assessments of large-scale public-private investments in precision agriculture innovation remain scarce, particularly in tropical contexts. This article analyzes the experience of Embrapii (Brazilian Agency for Research and Industrial Innovation) after fostering more than US$100 million in investments in over 600 research, development, and innovation (RD&I) projects applied to agriculture... J. Videira Menezes, E.M. Dias, M.L. Rebello Pinho Dias Scoton, D.H. Oliveira, I. Mendes Gaya Lopes Dos Santos, F. Stallivieri, L. Cunha De Sousa

3. Integrating Tractor-tire-tool Adjustable Parameters and UAV‑derived Soil Indices to Predict Fuel Consumption and Crop Emergence in Spring Barley Sowing

The optimization of energy use and agronomic performance in agricultural operations has become a central challenge in modern agriculture. To achieve this dual objective, farmers could adjust the machinery settings of a tractor-tire-tool system to ensure efficient resource utilization while maintaining optimal agronomic outcomes. This study was conducted as a part of the AgrEnOp project, which aims to predict fuel consumption (l/ha) and crop emergence (plant/m2) based on operator-adjustable... D. Urbina Salazar, A. Yatskul, F. Pinet, A. Dujany, C. Ugarte

4. Towards Precision Agriculture with Electrochemical Sensors for Detecting Dopamine in Plants and Fruits

Cathecolamines are essential neurotransmitters that regulate the central nervous system of animals, while also acting as direct modulators in plants, coordinating antioxidant responses and ionic balance regulation. Dopamine (DA) is an essential catecholamine not only for animals but also plays a critical regulatory role in plants, acting as a potent antioxidant and growth modulator under abiotic stresses such as drought and salinity or pathogen attacks and helps neutralize free radicals and... L.M. Gonçalves, B. Vasconcellos Lopes, B.B. Gallo, A. La Rosa, D.A. Fruchtenicht, C. Miler, P. Silveira, N.L. Carreno