This paper provides an in-depth exploration of the Crop Module within the "EarTH Observation for the Early forecasT of Irrigation needS (THETIS)"project, specifically addressing challenges in precision agriculture. The study unfolds in the "Fortore"irrigation district (Southern Italy), focusing in particular on the 6/B district. The Crop Module, rooted in AquaCrop crop model architecture, emerges as a pivotal component in simulating and predicting crop growth, development, and water dynamics. It operates across leaf development, crop growth and productivity, and water balance levels, ensuring adaptability to daily temperature variations for real-time simulations. In interaction with the Soil Water Balance Module (SWB) and leveraging insights from satellite imagery, the Crop Module undergoes meticulous calibration and validation. The expected outcomes encompass increased precision in irrigation scheduling, early anticipation of water demand, and improved seasonal forecasting. This comprehensive approach positions stakeholders for informed decision-making, fostering sustainability and efficiency in agricultural practices.
A Crop Model for Large Scale and Early Irrigation Requirements Estimation / Rinaldi, M.; Ruggieri, S.; Ciavarella, F.; Satalino, G.; Palmisano, D.; Balenzano, A.; Albertini, C.; Lovergine, F.; Mattia, F.; Iacobellis, V.; Gioia, A.; Impedovo, D.; Nardella, L.; Cataldo, M. D.; Noviello, N.; Guarini, R.; Sacco, P.; Virelli, M.; Tapete, D.; Garofalo, P.. - 3:(2024), pp. 2807-2810. (Intervento presentato al convegno 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 tenutosi a grc nel 2024) [10.1109/IGARSS53475.2024.10640683].
A Crop Model for Large Scale and Early Irrigation Requirements Estimation
Albertini C.;Iacobellis V.;Gioia A.;
2024-01-01
Abstract
This paper provides an in-depth exploration of the Crop Module within the "EarTH Observation for the Early forecasT of Irrigation needS (THETIS)"project, specifically addressing challenges in precision agriculture. The study unfolds in the "Fortore"irrigation district (Southern Italy), focusing in particular on the 6/B district. The Crop Module, rooted in AquaCrop crop model architecture, emerges as a pivotal component in simulating and predicting crop growth, development, and water dynamics. It operates across leaf development, crop growth and productivity, and water balance levels, ensuring adaptability to daily temperature variations for real-time simulations. In interaction with the Soil Water Balance Module (SWB) and leveraging insights from satellite imagery, the Crop Module undergoes meticulous calibration and validation. The expected outcomes encompass increased precision in irrigation scheduling, early anticipation of water demand, and improved seasonal forecasting. This comprehensive approach positions stakeholders for informed decision-making, fostering sustainability and efficiency in agricultural practices.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
