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Machine Learning Approaches for Predicting Maize Biomass Yield: Leveraging Feature Engineering and Comprehensive Data Integration

Abbasi, M., Váz, P., Silva, J., Martins, P. (2025).
Machine Learning Approaches for Predicting Maize Biomass Yield: Leveraging Feature Engineering and Comprehensive Data Integration.
Sustainability 2025, 17(1), 256.
https://doi.org/10.3390/su17010256

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Edge-Computing Smart Irrigation Controller Using LoRaWAN and LSTM for Predictive Controlled Deficit Irrigation

Baseca, C. C., Baseca, C. C.,Dionísio, R.,Ribeiro, F., Metrôlho, J. (2025).
Edge-Computing Smart Irrigation Controller Using LoRaWAN and LSTM for Predictive Controlled Deficit Irrigation.
Sensors, 25(22), 7079.
https://doi.org/10.3390/s25227079

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