In this study, an algorithm is implemented with a computer vision model to detect and classify coffee fruits and map the fruits maturation stage during harvest. The main …
Mangos are native to South and Southeast Asian regions. They are one of the favorite fruits consumed globally, with an overall estimated consumption reaching up to 50.65 million …
N Alex, CC Sobin, J Ali - Wireless Personal Communications, 2023 - Springer
The rampant adoption of digital technologies made momentous changes in all economic sectors. The agriculture sector cannot abstain from the digital revolution. Agriculture and …
C Zhang, K Zhang, L Ge, K Zou, S Wang, J Zhang… - Scientia …, 2021 - Elsevier
Organs classification and fruit counting on pomegranate trees are of great significance for horticulture works and robotic picking. However, there are still some challenges:(1) …
Monitoring coffee fruits maturity is pivotal in the decision-making process, particularly during harvesting. However, the coffee plant produces fruits of different maturity stages due to …
Earlier, researchers have employed computer vision-based automatic fruit detection to estimate coffee yield at the time of harvest, however, studies on the on-plant quantification of …
L Ge, Z Yang, Z Sun, G Zhang, M Zhang, K Zhang… - Sensors, 2019 - mdpi.com
Illumination in the natural environment is uncontrollable, and the field background is complex and changeable which all leads to the poor quality of broccoli seedling images …
S Cubero, F Albert, JM Prats-Moltalbán… - Biosystems …, 2018 - Elsevier
Highlights•An Android application has been developed to estimate the citrus colour index.•The application implements a real vision system using the built-in camera.•The …
Coffee farmers do not have efficient tools to have sufficient and reliable information on the maturation stage of coffee fruits before harvest. In this study, we propose a computer vision …