by Hanan Hassan Ali Adlan, Reham Al Zamanan, Leen Almufleh, Tala Almuqrin and Jory Alhassoun
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 1-8, 2026; DOI: 10.55708/js0502001
Abstract: The Traditional date harvesting is labor-intensive and inefficient, leading to losses and quality issues. This paper introduces an AI-powered robotic system that automates date harvesting using computer vision, LiDAR sensors, and a robotic arm with a suction mechanism. The robot is capable of perception, it detects, classifies, and harvests ripe dates autonomously, ensuring minimal damage… Read More

(This article belongs to the Section Automation and Control Systems (ACS))

by Chhaya Narvekar and Madhuri Rao
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 19-25, 2022; DOI: 10.55708/js0110004
Abstract: Soil fertility needs to be assessed to develop strategies for long-term agricultural productivity. A study has been undertaken at Shirol tehsil, Kolhapur district, Maharashtra state, India to evaluate the fertility status of soil using nutrient index approach. For the present study PH, organic carbon, and EC were chosen as potential markers of soil quality along… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Agriculture Multidisciplinary (AGM))

by Chris Nikolopoulos and Ryan Koralik
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 48-53, 2022; DOI: 10.55708/js0104006
Abstract: Prediction of plant growth and yield is one of the essential tasks that enables growers of food and agricultural products to effectively manage their crops. In this paper, a hybrid evolutionary/fuzzy machine learning approach is introduced where a genetic algorithm is deployed to learn the optimum membership functions of relevant fuzzy sets and a knowledge… Read More

(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))