Inferring Agronomical Insights for Wheat Canopy Using Image‐Based Curve Fit K‐Means Segmentation Algorithm and Statistical Analysis

A Gupta, L Kaur, G Kaur - International Journal of Genomics, 2022 - Wiley Online Library
Phenomics and chlorophyll fluorescence can help us to understand the various stresses a
plant may undergo. In this research work, we observe the image‐based morphological …

Detection of disease in citrus plants through leaf images using a convolutional neural network

MI Ramadhan, S Suyanto - 2021 3rd International Conference …, 2021 - ieeexplore.ieee.org
Citrus is one of the most commonly consumed fruits by humans due to its delicious taste and
vitamin C. For citrus plant cultivators, it is crucial to recognize the problem early so that it …

The efficiency of transfer learning and data augmentation in lemon leaf image classification

A Saygılı - European Journal of Engineering and Applied …, 2023 - dergipark.org.tr
Leaf diseases in trees and plants are important factors that directly affect the yield of
agricultural products. This problem may cause a decrease in the production capacity and …

A hybrid image processing algorithm to examine diseases in citrus leaves and fruits

P Usha, J Vijayakumar, P Nisha - AIP Conference Proceedings, 2024 - pubs.aip.org
Agricultural productivity is problematic while the plant attacks several micro-organisms,
viruses, and bacterial infections. Earlier disease identification is a unity regarding the …

Deep Learning-Based Multiclass Classification of Cotton Leaf Images Using ResNet and Transfer Learning

S Janakiraman, RP Rayapudi - International Advanced Computing …, 2022 - Springer
In this study, a deep learning model is proposed to classify the cotton leaf images into
multiple classes. There are five steps in the entire procedure. At the first step of this process …

[CITATION][C] Integrating Omics Approaches for the Development of Climate Resilient Crops