Yousra Zarouit

About

Yousra Zarouit is a researcher at the forefront of agricultural technology, specializing in computer vision and smart harvesting systems for date fruit cultivation. Her work addresses critical challenges in precision agriculture, particularly the automation of fruit detection and maturity assessment to reduce post-harvest losses. Zarouit’s most cited paper, “Date fruit detection dataset for automatic harvesting” (2023, 14 citations), provides a foundational dataset that enables machine learning models to identify date fruits in complex orchard environments, directly supporting the development of robotic harvesting systems. In her subsequent work, “Smart Harvesting Decision System for Date Fruit Based on Fruit Detection and Maturity Analysis Using YOLO and K-Means Segmentation” (2023, 4 citations), she integrates deep learning with unsupervised clustering to not only detect fruit but also classify its ripeness stage, enabling real-time harvesting decisions. This dual contribution—combining dataset creation with an end-to-end decision system—positions Zarouit as a key innovator in sustainable agriculture. Her research has direct implications for reducing food waste and improving yield efficiency in date-producing regions, where palm trees can reach 30 meters in height and losses remain significant. With a growing citation impact, Zarouit’s work is shaping the future of smart farming.

Research Focus

Key Achievements

Top Papers

1. 1
   Date fruit detection dataset for automatic harvesting

   14 citations · 2023
2. 2
   Smart Harvesting Decision System for Date Fruit Based on Fruit Detection and Maturity Analysis Using YOLO and K-Means Segmentation

   4 citations · 2023

Key Collaborators

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