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Tesis Doctoral
Development of methodologies to quantify spatial-temporal variability of arable crops for irrigation and fertilization management.
(2019-07-05)
La creciente preocupación por el papel de la agricultura en la gestión sostenible de los recursos naturales (agua, tierra y atmósfera), combinada con la necesidad de satisfacer la demanda mundial de alimentos, crea una ...
Tesis Doctoral
New strategies for row-crop management based on cost-effective remote sensors
(2017-09-12)
Agricultural technology can be an excellent antidote to resource scarcity. Its growth has led to the extensive study of spatial and temporal in-field variability. The challenge of accurate management has been addressed ...
Tesis Doctoral
Development and assessment of AI models based on deep learning algorithms to determine agronomic traits in fruit tree orchards and field crops
(2022-11-23)
It’s been claimed by the scientific community that we will need fifty percent more food by 2050 for a world population of close to 10 billion, resulting in a global crisis which raises the question of whether the global ...