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Project
NOVEL SUSTAINABILITY-DRIVEN IOT PRESCRIPTIVE ANALYTICS FOR IMPROVING IRRIGATION PRACTICES IN FRUIT TREES
In this project, we specifically aim at developing a new kind of IoT data analytics whose main concern is sustainability. We focus the definition of sustainable agricultural practices as those that minimize the quantity of water used for irrigation and maximize the quantity and quality of the final agricultural production. Our sustainability-driven IoT data analytics will give advice on the quantity of irrigated water that provides the most sustainable agricultural practice.
Date:18 Jan 2021 → Today
Keywords:IoT, Sustainability, Water Management, Prescriptive Analytics
Disciplines:Data models, Knowledge representation and reasoning, Bio-informatics, Econometric and statistical methods and methodology, Information technologies
Project type:PhD project