Plant disease detection using computational intelligence and image processing

VK Vishnoi, K Kumar, B Kumar - Journal of Plant Diseases and Protection, 2021 - Springer
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

AI-driven framework for recognition of guava plant diseases through machine learning from DSLR camera sensor based high resolution imagery

A Almadhor, HT Rauf, MIU Lali, R Damaševičius… - Sensors, 2021 - mdpi.com
Plant diseases can cause a considerable reduction in the quality and number of agricultural
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …

Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions

A Picon, M Seitz, A Alvarez-Gila, P Mohnke… - … and Electronics in …, 2019 - Elsevier
Abstract Convolutional Neural Networks (CNN) have demonstrated their capabilities on the
agronomical field, especially for plant visual symptoms assessment. As these models grow …

Study of digital image processing techniques for leaf disease detection and classification

G Dhingra, V Kumar, HD Joshi - Multimedia Tools and Applications, 2018 - Springer
In this paper, we address a comprehensive study on disease recognition and classification
of plant leafs using image processing methods. The traditional manual visual quality …

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 …

Grapenet: A lightweight convolutional neural network model for identification of grape leaf diseases

J Lin, X Chen, R Pan, T Cao, J Cai, Y Chen, X Peng… - Agriculture, 2022 - mdpi.com
Most convolutional neural network (CNN) models have various difficulties in identifying crop
diseases owing to morphological and physiological changes in crop tissues, and cells …

A review on: Various techniques of plant leaf disease detection

J Singh, H Kaur - … Conference on Inventive Systems and Control …, 2018 - ieeexplore.ieee.org
An expected 70% of Indian economy relies upon agribusiness. Since there is developing
Indian population, which is increasingly dependent on the agricultural yield, generation of …

Automated plant disease analysis (APDA): performance comparison of machine learning techniques

A Akhtar, A Khanum, SA Khan… - 2013 11th International …, 2013 - ieeexplore.ieee.org
Plant disease analysis is one of the critical tasks in the field of agriculture. Automatic
identification and classification of plant diseases can be supportive to agriculture yield …

An IoT based plant health monitoring system implementing image processing

MI Pavel, SM Kamruzzaman… - 2019 IEEE 4th …, 2019 - ieeexplore.ieee.org
The combination of internet of things (IoT) with environmental sensing and image
processing device has opened a new era to monitor the health of plants. Classification of …

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 …