[HTML][HTML] Diagnosis of common cauliflower diseases using image processing and deep learning

R Pourdarbani, S Sabzi - Journal of Environmental Science Studies, 2023 - jess.ir
AbstractCauliflower is a very healthy vegetable that is an important source of nutrients that is
naturally rich in fiber and B vitamins. It provides antioxidants and phytonutrients that can …

Classification and detection of cabbage leaf diseases from images using deep learning methods

AN Myna, K Manasvi, JK Pavan… - … Control and Intelligent …, 2023 - acisystems.org
The presented work uses Deep learning methods to detect diseases in cabbage leaves. The
plant disease detection is constrained by human visual capabilities. Because, most of the …

Plant leaf diseases detection and classification using image processing and deep learning techniques

MA Jasim, JM Al-Tuwaijari - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Agricultural products are the primary need for every country. If plants are infected by
diseases, this impacts the country's agricultural production and its economic resources. This …

Mobile application for classification of plant leaf diseases using image processing and neural networks

KS Chethan, S Donepudi, HV Supreeth… - Data Intelligence and …, 2021 - Springer
Identifying plant diseases with the naked eye can often lead to inaccuracies in diagnosis.
This paper discusses various techniques used to identify plant leaf diseases using computer …

Use of Convolutional Neural Network (CNN) to Detect Plant Disease

N Moitra, A Singh, S Das - … , Circuits and Systems: Proceedings of 3rd …, 2022 - Springer
The automatic and accurate detection of diseased leaves is a challenging job for
researchers. It offers a promising step towards food security and agricultural growth. On …

Lycopersicon crop leaf disease identification using deep learning

BM Joshi, H Bhavsar - … on Sustainable and Innovative Solutions for …, 2022 - Springer
Crop diseases pose a serious deathtrap to food safety, but their prompt disease diagnosis
remains burdensome in many parts of the world due to the lack of the necessary foundation …

Cauliflower disease recognition using machine learning and transfer learning

SK Maria, SS Taki, MJ Mia, AA Biswas… - … Systems: Innovations in …, 2022 - Springer
In terms of overall winter cropping area and production in Bangladesh, cauliflower
dominates a large share. It has many health benefits like decrease the risk of obesity …

Plant disease detection using image processing with machine learning

A Kiran, SKL Naik, MS Raj… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Crop diseases pose a severe challenge to food security, yet in many parts of the world it is
still challenging to promptly diagnose them owing to a lack of necessary infrastructure …

Crop disease diagnosis using deep learning models

W Haider, AU Rehman, A Maqsood… - … Global Conference on …, 2020 - ieeexplore.ieee.org
Diseases and pesticides are the most common problems of wheat being faced by the
farmers. These are commonly formed due to improper land preparation, unconditional rains …

Agricultural crops disease identification and classification through leaf images using machine learning and deep learning technique: a review

G Bhadur, R Rani - Proceedings of the International Conference on …, 2020 - papers.ssrn.com
With the rapid growth of population agricultural food production is now a major aspect.
Today major crops are suffering from various types of diseases. The diseases in crops are in …