An automated detection and classification of citrus plant diseases using image processing techniques: A review

Z Iqbal, MA Khan, M Sharif, JH Shah… - … and electronics in …, 2018 - Elsevier
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …

A systematic review of citrus disease perceptions and fruit grading using machine vision

S Palei, SK Behera, PK Sethy - Procedia Computer Science, 2023 - Elsevier
Citrus is one of the most commonly farmed and popular fruit crops globally. Citrus fruits are
high in vitamins, minerals, and dietary fibre, which are essential for overall health. Oranges …

Plants disease identification and classification through leaf images: A survey

S Kaur, S Pandey, S Goel - Archives of Computational Methods in …, 2019 - Springer
The symptoms of plant diseases are evident in different parts of a plant; however leaves are
found to be the most commonly observed part for detecting an infection. Researchers have …

Identification of cotton leaf lesions using deep learning techniques

RF Caldeira, WE Santiago, B Teruel - Sensors, 2021 - mdpi.com
The use of deep learning models to identify lesions on cotton leaves on the basis of images
of the crop in the field is proposed in this article. Cultivated in most of the world, cotton is one …

[PDF][PDF] Big data analytics for medical applications

N Das, L Das, SS Rautaray… - International Journal of …, 2018 - mecs-press.org
Big Data is an accumulation of data sets which are abundant and intricate in character. They
comprise both structured and unstructured data that evolve abundant, so speedy they are …

Estimation of soybean leaf area, edge, and defoliation using color image analysis

W Liang, KR Kirk, JK Greene - Computers and electronics in agriculture, 2018 - Elsevier
Soybeans are an extremely important crop in the United States, providing the largest source
of animal protein feed and a main source of vegetable oil in the country. The goal of this …

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 …

CanopyCAM–an edge-computing sensing unit for continuous measurement of canopy cover percentage of dry edible beans

W Liang, J Oboamah, X Qiao, Y Ge, B Harveson… - … and Electronics in …, 2023 - Elsevier
Canopy cover (CC) is an important indicator for crop development. Currently, CC can be
estimated indirectly by measuring leaf area index (LAI) using commercially available hand …

[PDF][PDF] Automatic detection of whitefly pest using statistical feature extraction and image classification methods

A Dey, D Bhoumik, KN Dey - Int. Res. J. Eng. Technol, 2016 - academia.edu
Pest detection in plants and crops is essential for production of good quality food, improved
quality of life and a stable agricultural economy. Excessive use of pesticides for pest control …

Combination of multiple classifiers for automatic recognition of diseases and damages on plant leaves

I El Massi, Y Es-saady, M El Yassa… - Signal, Image and Video …, 2021 - Springer
In this paper, we present an automatic recognition system of diseases and damages on
plant leaves. The proposed system is based on classifiers combination technique, in which …