[HTML][HTML] Three dimensional apple tree organs classification and yield estimation algorithm based on multi-features fusion and support vector machine

L Ge, K Zou, H Zhou, X Yu, Y Tan, C Zhang… - Information Processing in …, 2022 - Elsevier
The automatic classification of apple tree organs is of great significance for automatic
pruning of apple trees, automatic picking of apple fruits, and estimation of fruit yield …

Detection, classification, and mapping of coffee fruits during harvest with computer vision

HC Bazame, JP Molin, D Althoff, M Martello - Computers and Electronics in …, 2021 - Elsevier
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 …

[HTML][HTML] Data augmentation for automated pest classification in Mango farms

K Kusrini, S Suputa, A Setyanto, IMA Agastya… - … and Electronics in …, 2020 - Elsevier
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 …

A comprehensive study on smart agriculture applications in India

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 …

A method for organs classification and fruit counting on pomegranate trees based on multi-features fusion and support vector machine by 3D point cloud

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 fruit maturity using an enhanced convolutional neural network under different image acquisition settings

EH Kazama, D Tedesco, V dos Santos Carreira… - Scientia …, 2024 - Elsevier
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 …

Computer vision-aided intelligent monitoring of coffee: Towards sustainable coffee production

F Eron, M Noman, RR de Oliveira, A Chalfun-Junior - Scientia Horticulturae, 2024 - Elsevier
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 …

A method for broccoli seedling recognition in natural environment based on binocular stereo vision and Gaussian mixture model

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 …

Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices

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 …

Detection of coffee fruits on tree branches using computer vision

HC Bazame, JP Molin, D Althoff, M Martello - Scientia Agricola, 2022 - SciELO Brasil
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 …