Maize tassels detection: a benchmark of the state of the art

H Zou, H Lu, Y Li, L Liu, Z Cao - Plant Methods, 2020 - Springer
Background The population of plants is a crucial indicator in plant phenoty** and
agricultural production, such as growth status monitoring, yield estimation, and grain depot …

Improved CNN method for crop pest identification based on transfer learning

Y Liu, X Zhang, Y Gao, T Qu… - Computational intelligence …, 2022 - Wiley Online Library
Timely treatment and elimination of diseases and pests can effectively improve the yield and
quality of crops, but the current identification methods are difficult to achieve efficient and …

Weed and corn seedling detection in field based on multi feature fusion and support vector machine

Y Chen, Z Wu, B Zhao, C Fan, S Shi - Sensors, 2020 - mdpi.com
Detection of weeds and crops is the key step for precision spraying using the spraying
herbicide robot and precise fertilization for the agriculture machine in the field. On the basis …

Citrus greening disease recognition algorithm based on classification network using TRL-GAN

D **ao, R Zeng, Y Liu, Y Huang, J Liu, J Feng… - … and Electronics in …, 2022 - Elsevier
The monitoring and prevention and control of citrus yellow dragon disease is a significant
measure to ensure citrus production. If yellow dragon disease appears in citrus orchards, it …

PlantBiCNet: A new paradigm in plant science with bi-directional cascade neural network for detection and counting

J Ye, Z Yu, Y Wang, D Lu, H Zhou - Engineering Applications of Artificial …, 2024 - Elsevier
Deep learning is increasingly popular for precise plant detection and counting in computer
vision applications. Despite the rising cross-disciplinary research in this field, an important …

An automatic identification system for citrus greening disease (Huanglongbing) using a YOLO convolutional neural network

RZ Qiu, SP Chen, MX Chi, RB Wang, T Huang… - Frontiers in Plant …, 2022 - frontiersin.org
Huanglongbing (HLB), or citrus greening disease, has complex and variable symptoms,
making its diagnosis almost entirely reliant on subjective experience, which results in a low …

A Huanglongbing detection method for orange trees based on deep neural networks and transfer learning

W Gómez-Flores, JJ Garza-Saldaña… - IEEE …, 2022 - ieeexplore.ieee.org
Huanglongbing (HLB) is one of the most threatening diseases for citrus production and it
has caused significant economic damage worldwide. Hence, computer-vision systems that …

Maize tassel detection and counting using a YOLOv5-based model

S Falahat, A Karami - Multimedia Tools and Applications, 2023 - Springer
Automated detection and counting of maize tassels are important to enhance yield
efficiency. This paper introduces a maize tassel detection and counting technique based on …

Vision foundation model for agricultural applications with efficient layer aggregation network

J Ye, Z Yu, J Lin, H Li, L Lin - Expert Systems with Applications, 2024 - Elsevier
Agricultural production is transitioning from traditional tools to IoT-connected automation
devices. The integration of computer vision and agricultural automation is becoming closer …

Métodos de detección de Huanglongbing en cítricos

A Soto-Plancarte, R Santillán-Mendoza… - Revista mexicana de …, 2024 - scielo.org.mx
En México, la citricultura representa una de las actividades económicas más importantes
para la fruticultura nacional, con una producción de 8.8 millones de toneladas y una …