Automating seedling counts in horticulture using computer vision and AI

F Fuentes-Peñailillo, G Carrasco Silva… - Horticulturae, 2023 - mdpi.com
The accelerated growth of computer vision techniques (CVT) has allowed their application in
various disciplines, including horticulture, facilitating the work of producers, reducing costs …

Physical Robots in Education: A Systematic Review Based on the Technological Pedagogical Content Knowledge Framework

H Wang, N Luo, T Zhou, S Yang - Sustainability, 2024 - mdpi.com
Driven by the wave of artificial intelligence, the educational practice and application of
robots have become increasingly common. Despite extensive coverage in the literature on …

[HTML][HTML] Deep learning guided variable rate robotic sprayer prototype

AE Abioye, PA Larbi, AAK Hadwan - Smart Agricultural Technology, 2024 - Elsevier
This paper presents the development of a robotic sprayer that combines artificial intelligence
with robotics for optimal spray application on citrus nursery plants grown in an indoor …

Machine Learning-Based Control of Autonomous Vehicles for Solar Panel Cleaning Systems in Agricultural Solar Farms

F Hajiahmadi, M Jafari, M Reyhanoglu - AgriEngineering, 2024 - mdpi.com
This paper presents a machine learning (ML)-based approach for the intelligent control of
Autonomous Vehicles (AVs) utilized in solar panel cleaning systems, aiming to mitigate …

From Human to Autonomous Driving: A Method to Identify and Draw Up the Driving Behaviour of Connected Autonomous Vehicles

G Caruso, MK Yousefi, L Mussone - Vehicles, 2022 - mdpi.com
The driving behaviour of Connected and Automated Vehicles (CAVs) may influence the final
acceptance of this technology. Develo** a driving style suitable for most people implies …

A semi-autonomous multi-vehicle architecture for agricultural applications

EHC Harik, F Guinand, J Geipel - Electronics, 2023 - mdpi.com
The ageing population, climate change, and labour shortages in the agricultural sector are
driving the need to reevaluate current farming practices. To address these challenges, the …

Adding Machine-Learning Functionality to Real Equipment for Water Preservation: An Evaluation Case Study in Higher Education

M Kondoyanni, D Loukatos, KG Arvanitis, KA Lygkoura… - Sustainability, 2024 - mdpi.com
Considering that the fusion of education and technology has delivered encouraging
outcomes, things are becoming more challenging for higher education as students seek …

Open and Low Cost Techniques to Foster Engineering Education: The Smart Egg Classifier Example

D Loukatos, K Limnidis, EP Androulakis… - 2024 IEEE Global …, 2024 - ieeexplore.ieee.org
Rapid growth of the electronics industry resulted in a plethora of innovative and cheap
devices, while fluent documentation and user-friendly programming environments are …

Innovative STEM Practices Fostering the Digital Transformation of Agriculture: The STEM4Agri Paradigm

D Loukatos, M Kondoyanni… - 2024 IEEE Global …, 2024 - ieeexplore.ieee.org
Recent advances in electronics industry resulted in numerous, amazing and cheap devices,
while fluent documentation and efficient, user-friendly programming environments are …

[書籍][B] Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector

VJPD Martinho - 2024 - Springer
The agricultural sector needs to increase agricultural production to guarantee food security
worldwide, however, to achieve these objectives agriculture must improve the sustainability …