Organisation/Company: Università di Foggia
Research Field: Physics » Statistical physics, Agricultural sciences, Engineering
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: Italy
Application Deadline: 5 Mar 2025 - 23:59 (UTC)
Type of Contract: To be defined
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme? Other EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The research activities will start with the identification of the GAN network best suited to reproduce the relevant features of satellite images, with particular attention to the preservation of spatial and chromatic details useful for system analysis. Next, a machine learning algorithm will be developed to classify crop types, trained on both real satellite images and synthetic images generated by GANs. Finally, a Neural Networks model will be designed and optimized to predict water demand by crop type, and the classified data will be integrated with additional environmental parameters.
Eligibility Criteria
Eligibility of fellows: country/ies of residence: EUROPE
Eligibility of fellows: nationality/ies:
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