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
Time-series high spatio-temporal resolution vegetation leaf area index estimation based on NDVI trends

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Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning

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Digital twin modelling of lettuce growth under extreme earth conditions on earth: a very first step to plant growth in outer space

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Cu-Ag nanoparticles positively modulating the endophytic bacterial community in tomato roots affected by bacterial wilt.

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Linacre’s Simple Model for Water Loss in a Leaf

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A visual recognition method for the growth posture of small tomatoes under a complex greenhouse background

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A Comprehensive Survey on Deep Learning Applications in Plant Disease Detection and Classification

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A novel method integrating sample migration and threshold optimization for high-precision greenhouse classification: evidence from Southern China

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Efficient and autonomous detection of olive leaf diseases using AI-enhanced MetaFormer

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Seeing herbaria in a new light: leaf reflectance spectroscopy unlocks trait and classification modeling in plant biodiversity collections

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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 961 FWCI553.645

Plant Disease Detection and Classification by Deep Learning—A Review

article Full Text OpenAlex 628 FWCI68.344

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

article Full Text OpenAlex 487 FWCI53.099

Development of a Low-Cost Banana Fiber Extractor

article Full Text OpenAlex 383 FWCI216.844

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

article Full Text OpenAlex 379 FWCI40.309

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

article Full Text OpenAlex 309 FWCI32.17

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

review Full Text OpenAlex 295 FWCI7.401

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

article Full Text OpenAlex 295 FWCI33.849

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

article Full Text OpenAlex 280 FWCI38.888

Critical Review: Role of Inorganic Nanoparticle Properties on Their Foliar Uptake and in Planta Translocation

review Full Text OpenAlex 273 FWCI6.071