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Vasconcellos Lopes, B
Valarares, S.V
Vitor dos Santos, D
Wojciechowski, T
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Authors
Wojciechowski, T
Niedbała, G
Bobran, K
Salvador, I
Coelho, A.L
Valarares, S.V
Queiroz, D
Alkmim, A
Vitor dos Santos, D
Topics
Decision Support Systems, Cloud Platforms, and Open Data Solutions
Remote and Proximal Sensing of Soils and Crops
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Poster
Year
2026
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Filter results3 paper(s) found.

1. PRAGMATIC - Innovative IT Platform for Yield and Cost Prediction of Agricultural Production

The  aim  of  the  R&D  was  to  develop  a  prototype  of  an  innovative  IT  platform  containing algorithms  for  predicting  yields  and  production  costs  of  agricultural  commodities  for  three reference crops, i.e.: blueberries, apples and potatoes in the supply chain from the field to the production  line.  The  system  are ... T. Wojciechowski, G. Niedbała, K. Bobran

2. Prediction of Soil Potassium Concentration Using Electrical Impedance Spectroscopy

The increasing global dependence on potassium fertilizers and instabilities in international trade, intensified by recent geopolitical conflicts, have raised concerns regarding potassium (K) availability and costs in 2026. Since variable-rate fertilizer application enables the optimization of agricultural inputs, the delineation of management zones based on the spatial variability of soil potassium concentration becomes essential. This study aimed to evaluate the use of electrical impedance spectroscopy... I. Salvador, A.L. Coelho, S.V. Valarares, D. Queiroz

3. Artificial Intelligence Framework for Bioenergetic Flow Audit and Thermal Entropy: A Precision Approach in the Brazilian Semiarid

Extensive livestock farming in the Brazilian semiarid faces productivity bottlenecks masked by weed competition, where invasive plants mimic vegetative vigor but impose thermal and nutritional stress on the herd. This study aimed to develop and validate the "Predict-IA" framework, a bioenergetic audit tool based on Artificial Intelligence to quantify systemic entropy and "energy leakage" in degraded pastures. A ten-year time series (2015-2025) of Sentinel-2 multispectral data... A. Alkmim, D. Vitor Dos Santos