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
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning

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Performance Comparison of Cherry Tomato Ripeness Detection Using Multiple YOLO Models

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High throughput phenotyping using hyperspectral imaging for seed quality assurance coupled with machine learning methods: principles and way forward

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In Vitro Evaluation of Iraqi Kurdistan Tomato Accessions Under Drought Stress Conditions Using Polyethylene Glycol-6000

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Melatonin alleviates drought stress and increases lutein and zeaxanthin industrial pigments in African marigold by some physiological regulations

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Lightweight Mulberry Fruit Detection Method Based on Improved YOLOv8n for Automated Harvesting

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The role of proline and betaine functionalized zinc oxide nanoparticles as drought stress regulators in Coriandrum sativum: an in vivo study

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Exploring optimal soil moisture for seedling tomatoes using thermal infrared imaging and chlorophyll fluorescence techniques

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Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image

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Evaluation of wheat drought resistance using hyperspectral and chlorophyll fluorescence imaging

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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

Plant Disease Detection and Classification by Deep Learning—A Review

article Full Text OpenAlex 817 FWCI92.44260986

Tomato plant disease detection using transfer learning with C-GAN synthetic images

article Full Text OpenAlex 556 FWCI67.41584577

Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification

article Full Text OpenAlex 447 FWCI51.93053549

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 364 FWCI64.50558825

Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network

article Full Text OpenAlex 347 FWCI46.14309629

Zinc oxide nanoparticles (ZnO-NPs) induce salt tolerance by improving the antioxidant system and photosynthetic machinery in tomato

article Full Text OpenAlex 341 FWCI39.41715344

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

review Full Text OpenAlex 336 FWCI43.95325443