A review on the main challenges in automatic plant disease identification based on visible range images

JGA Barbedo - Biosystems engineering, 2016‏ - Elsevier
Highlights•The challenges involved in the automatic identification of plant diseases are
characterised.•The impact of those challenges on current proposals is discussed.•Possible …

Digital image processing techniques for detecting, quantifying and classifying plant diseases

JG Arnal Barbedo - SpringerPlus, 2013‏ - Springer
This paper presents a survey on methods that use digital image processing techniques to
detect, quantify and classify plant diseases from digital images in the visible spectrum …

Remote sensing leaf chlorophyll content using a visible band index

ER Hunt Jr, CST Daughtry, JUH Eitel… - Agronomy …, 2011‏ - Wiley Online Library
Leaf chlorophyll content (μg cm− 2) is an important variable for agricultural remote sensing
because of its close relationship to leaf N content. The objectives of this study were to …

[HTML][HTML] Automated sustainable multi-object segmentation and recognition via modified sampling consensus and Kernel sliding perceptron

AA Rafique, A Jalal, K Kim - Symmetry, 2020‏ - mdpi.com
Object recognition in depth images is challenging and persistent task in machine vision,
robotics, and automation of sustainability. Object recognition tasks are a challenging part of …

Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light

Y Wang, D Wang, P Shi, K Omasa - Plant methods, 2014‏ - Springer
Background The color of crop leaves is closely correlated with nitrogen (N) status and can
be quantified easily with a digital still color camera and image processing software. The …

Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale

MM Saberioon, MSM Amin, AR Anuar… - International Journal of …, 2014‏ - Elsevier
Nitrogen is an important variable for paddy farming management. The objectives of this
study were to develop and test a new method to determine the status of nitrogen and …

RGB imaging as a tool for remote sensing of characteristics of terrestrial plants: A review

A Kior, L Yudina, Y Zolin, V Sukhov, E Sukhova - Plants, 2024‏ - mdpi.com
Approaches for remote sensing can be used to estimate the influence of changes in
environmental conditions on terrestrial plants, providing timely protection of their growth …

Modern imaging techniques in plant nutrition analysis: A review

D Li, C Li, Y Yao, M Li, L Liu - Computers and Electronics in Agriculture, 2020‏ - Elsevier
Plants show morphology, physiology and biochemical change when they encounter abiotic
stress. Image-based plant nutrition analysis is based on this principle and focus on the …

Estimating nitrogen status of rice using the image segmentation of GR thresholding method

Y Wang, D Wang, G Zhang, J Wang - Field Crops Research, 2013‏ - Elsevier
A camera can record spectral information of visible bands. In this study, a digital camera was
used to take pictures of the canopies of 3 rice (Oryza sativa L.) cultivars with 6 different …

Using deep convolutional neural network for image-based diagnosis of nutrient deficiencies in plants grown in aquaponics

MF Taha, A Abdalla, G ElMasry, M Gouda, L Zhou… - Chemosensors, 2022‏ - mdpi.com
In the aquaponic system, plant nutrients bioavailable from fish excreta are not sufficient for
optimal plant growth. Accurate and timely monitoring of the plant's nutrient status grown in …