专题：Leaf Properties and Growth Measurement

This cluster of papers focuses on the development and validation of non-destructive methods for estimating leaf area in various plant species. The methods include digital image analysis, allometric models, linear measurements, and artificial neural networks. The research also covers the relationship between leaf area and plant growth, as well as phytochemical studies.
最新文献
Non-Destructive Monitoring of Postharvest Hydration in Cucumber Fruit Using Visible-Light Color Analysis and Machine-Learning Models

article Full Text OpenAlex

AI-powered UAV remote sensing for drought stress phenotyping: Automated chlorophyll estimation in individual plants using deep learning and instance segmentation

article Full Text OpenAlex

Vegetation cover change as a growing driver of global leaf area index dynamics

article Full Text OpenAlex

Combining rEW-2DCOS and mechanism-guided adaptive ensemble learning to improve the retrieval of leaf nitrogen, phosphorus, and potassium contents

article Full Text OpenAlex

Leveraging the use of digital agriculture and machine learning for accurate prediction of Leaf Area Index (LAI)

article Full Text OpenAlex

A Leaf Chlorophyll Content Dataset for Crops: A Comparative Study Using Spectrophotometric and Multispectral Imagery Data

article Full Text OpenAlex

Automatic diagnosis of agromyzid leafminer damage levels using leaf images captured by AR glasses

article Full Text OpenAlex

Enhancing the yield and water use efficiency of processing tomatoes (Lycopersicon esculentum Miller) through optimal irrigation and salinity management under mulched drip irrigation

article Full Text OpenAlex

Growth Stage-Specific Modeling of Chlorophyll Content in Korla Pear Leaves by Integrating Spectra and Vegetation Indices

article Full Text OpenAlex

A Review on the Detection of Plant Disease Using Machine Learning and Deep Learning Approaches

review Full Text OpenAlex

近5年高被引文献
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning

article Full Text OpenAlex 959 FWCI749.20301574

An Improved Grading System for Measuring Plant Diseases

article Full Text OpenAlex 869 FWCI19.21120705

Development of a Low-Cost Banana Fiber Extractor

article Full Text OpenAlex 387 FWCI297.17864925

Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG

article Full Text OpenAlex 375 FWCI66.10490035

Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications

article Full Text OpenAlex 308 FWCI53.6658062

Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model

article Full Text OpenAlex 268 FWCI57.02272429

Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments

article Full Text OpenAlex 256 FWCI44.95844029

A comprehensive review on detection of plant disease using machine learning and deep learning approaches

review Full Text OpenAlex 255 FWCI44.24763491

The Role of Nanoparticles in Response of Plants to Abiotic Stress at Physiological, Biochemical, and Molecular Levels

review Full Text OpenAlex 225 FWCI30.15339636

Plant disease detection and classification techniques: a comparative study of the performances

article Full Text OpenAlex 221 FWCI171.26874786