CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

MA Khan, T Akram, M Sharif, M Awais, K Javed… - … and electronics in …, 2018 - Elsevier
In the agriculture farming business, plant diseases are the major reason for monetary
misfortunes around the globe. It is an imperative factor, as it causes significant diminution in …

An integrated approach for predicting and broadcasting tea leaf disease at early stage using IoT with machine learning–a review

G Yashodha, D Shalini - Materials Today: Proceedings, 2021 - Elsevier
Plants are considered to be vital as they are the resource of energy provider to mankind.
Leaves can be affected at any time between sowing and harvesting. It can lead to huge loss …

Image processing based detection of fungal diseases in plants

JD Pujari, R Yakkundimath, AS Byadgi - Procedia Computer Science, 2015 - Elsevier
This paper presents a study on the image processing techniques used to identify and
classify fungal disease symptoms affected on different agriculture/horticulture crops …

[PDF][PDF] Plants disease segmentation using image processing

R Masood, SA Khan, MNA Khan - International Journal of Modern …, 2016 - mecs-press.org
The image segmentation performs a significant role in the field of image processing because
of its wide range of applications in the agricultural fields to identify plants diseases by …

Identification and classification of fungal disease affected on agriculture/horticulture crops using image processing techniques

JD Pujari, R Yakkundimath… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
This paper presents a study on the image processing techniques used to identify and
classify fungal disease symptoms affected on different agriculture/horticulture crops. Many …

Disease detection in infected plant leaf by computational method

AK Rath, JK Meher - Archives of phytopathology and plant …, 2019 - Taylor & Francis
Plant diseases can directly affect the production hampering the economy significantly. Thus,
early and correct detection of the disease is always a priority for an agriculture-dependent …

Detection and classification of diseases in plants using image processing and machine learning techniques

S Poornima, S Kavitha, S Mohanavalli… - AIP conference …, 2019 - pubs.aip.org
Disease identification in plants is very essential for preventing the loss in yield of the
agricultural products. It is difficult to monitor the plant diseases manually at each stage …

Identification and classification of fruit diseases

YH Sharath Kumar, G Suhas - Recent Trends in Image Processing and …, 2017 - Springer
In this paper, we propose a method for identification and classification of fruit diseases.
Initially, the fruit image is segmented using K-means and C-Means clustering algorithms …

[PDF][PDF] A review of image processing for pomegranate disease detection

MA Bhange, HA Hingoliwala - International Journal of Computer Science …, 2015 - Citeseer
In this paper, we suggest a solution for the detection of pomegranate fruit disease (bacterial
blight) and also the solution for that disease after detection is proposed. Bacterial Blight …

Disease detection in different plants to save the environment using IOT, image processing and machine learning: a review

P Rajpoot, VS Chandel, AK Pandey… - … Journal of Global …, 2023 - inderscienceonline.com
Diseases, insects and weeds together hinders the crop productivity and destroy crops. A
vital point that needs to be tackled for economic growth and product development is …