AIMC Topic: Pinus

Clear Filters Showing 1 to 7 of 7 articles

Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.

PeerJ May 22, 2025
Pine forests are increasingly threatened by needle diseases, including Brown Spot Needle Blight (BSNB), caused by . BSNB leads to needle loss, reduced growth, significant tree mortality, and disruptions in global timber production. Due to its severit...
Plant Leaves Remote Sensing Technology Forests Plant Diseases Ascomycota Pinus
View on PubMed DOI

Improved Pine Wood Nematode Disease Diagnosis System Based on Deep Learning.

Plant disease Apr 23, 2025
Pine wilt disease caused by the pine wood nematode, , has profound implications for global forestry ecology. Conventional PCR methods need long operating time and are complicated to perform. The need for rapid and effective detection methodologies to...
Animals Deep Learning Plant Diseases Nematoda Pinus Tylenchida
View on PubMed DOI

Detection of Pine Cones in Natural Environment Using Improved YOLOv4 Deep Learning Algorithm.

Computational intelligence and neuroscience Dec 16, 2021
Achieving the rapid and accurate detection of pine cones in the natural environment is essential for yield estimation and automatic picking. However, the complex background and tiny target pose a significant challenge to pine cone detection. This pap...
Algorithms Deep Learning Environment Pinus Plant Cone
View on PubMed DOI

Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model.

Sensors (Basel, Switzerland) Aug 8, 2020
The real-time detection of pine cones in Korean pine forests is not only the data basis for the mechanized picking of pine cones, but also one of the important methods for evaluating the yield of Korean pine forests. In recent years, there has been a...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Environmental Monitoring Pinus
View on PubMed DOI

Autonomously Moving Pine-Cone Robots: Using Pine Cones as Natural Hygromorphic Actuators and as Components of Mechanisms.

Artificial life Feb 6, 2020
We have developed autonomously moving pine-cone robots, which are made of multiple joined pine-cone scales for outdoor natural environments. We achieved these natural robots by using pine cones as both natural hygromorphic actuators and components of...
Robotics Plant Components, Aerial Droughts Rain Pinus
View on PubMed DOI

Variable weighted convolutional neural network for the nitrogen content quantization of Masson pine seedling leaves with near-infrared spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 15, 2018
Spectroscopy is a powerful non-destructive quantization tool. In this paper, the technology is used to predict the nitrogen content of Masson pine seedling leaves. Masson pine is widely planted in China, and its nitrogen content is an important index...
Neural Networks, Computer Spectroscopy, Near-Infrared China Plant Leaves Seedlings Nitrogen Pinus
View on PubMed DOI

[A hyperspectral assessment model for leaf chlorophyll content of Pinus massoniana based on neural network].

Ying yong sheng tai xue bao = The journal of applied ecology Apr 18, 2017
The relationships between the leaf chlorophyll content (LCC) of Pinus massoniana at different growth stages and their chlorophyll content were analyzed. 7 of 36 red edge-based parameters were finally selected as the typical spectral response paramete...
Neural Networks, Computer Plant Leaves Spectrum Analysis Chlorophyll Pinus
View on PubMed DOI
Popular Topics
Recent Journals