IoT based dynamic Bayesian prediction of crop evapotranspiration in soilless cultivations

Author:

Kocian Alexander,Carmassi Giulia,Cela Fatjon,Chessa Stefano,Milazzo Paolo,Incrocci Luca

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference32 articles.

1. Allen, R. G., Pereira, L. S., & Raes, D. (1998). M. Smith. 1998. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56, Rome. Food and Agricultural Organization. Roma, 300(9).

2. Modelling Evapotranspiration of Container Crops for Irrigation Scheduling;Bacci;In Evapotranspiration - From Measurements to Agricultural and Environmental Applications,2011

3. A simplified model for predicting evapotranspiration rate of nine ornamental species vs. climate factors and leaf area;Baille;Scientia Horticulturae,1994

4. Machine learning applications on agricultural datasets for smart farm enhancement;Balducci;Machines,2018

5. QoS-aware deployment of IoT applications through the fog;Brogi;IEEE Internet of Things Journal,2017

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