Teaching

For undergraduate students:

• Introduction to smart agro-industries

• Biological resource management

• Artificial (agricultural) meteorology

• Well-being (industrial) crops

• Big data and precision agriculture

• Agroecosystem model simulation

For graduate students:

• Advanced agroecosystem modeling

• Agricultural data analysis

• Proximal sensing applications

• Digital agriculture

Reccomended readings: