A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools

A Ahmad, D Saraswat, A El Gamal - Smart Agricultural Technology, 2023 - Elsevier
Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …

Crop-saving with AI: latest trends in deep learning techniques for plant pathology

Z Salman, A Muhammad, MJ Piran… - Frontiers in Plant Science, 2023 - frontiersin.org
Plant diseases pose a major threat to agricultural production and the food supply chain, as
they expose plants to potentially disruptive pathogens that can affect the lives of those who …

Deep transfer learning model for disease identification in wheat crop

S Nigam, R Jain, S Marwaha, A Arora, MA Haque… - Ecological …, 2023 - Elsevier
Wheat rusts, caused by pathogenic fungi, are responsible for significant losses in Wheat
production. Leaf rust can cause around 45–50% crop loss, whereas stem and stripe rust can …

Predicting crop yields in Senegal using machine learning methods

AB Sarr, B Sultan - International Journal of Climatology, 2023 - Wiley Online Library
Agriculture plays an important role in Senegalese economy and annual early warning
predictions of crop yields are highly relevant in the context of climate change. In this study …

Maize leaf disease identification using deep transfer convolutional neural networks

Z Ma, Y Wang, T Zhang, H Wang, Y Jia, R Gao… - International Journal of …, 2022 - ijabe.org
Gray leaf spot, common rust, and northern leaf blight are three common maize leaf diseases
that cause great economic losses to the worldwide maize industry. Timely and accurate …

[PDF][PDF] Techniques of deep learning and image processing in plant leaf disease detection: A review

AS Kini, PKV Reddy, SN Pai - International Journal of Electrical and …, 2023 - academia.edu
Computer vision techniques are an emerging trend today. Digital image processing is
gaining popularity because of the significant upsurge in the usage of digital images over the …

Wheat disease severity estimation: a deep learning approach

S Nigam, R Jain, S Prakash, S Marwaha… - … conference on Internet …, 2021 - Springer
In the agriculture domain, automatic and accurate estimation of disease severity in plants is
a very challenging research field and most crucial for disease management, crop yield loss …

[PDF][PDF] Automating yellow rust disease identification in wheat using artificial intelligence

S Nigam, R Jain, S Marwaha, A Arora… - The Indian Journal of …, 2021 - academia.edu
Plant disease has long been one of the major threats to world food security due to reduction
in the crop yield and quality. Accurate and precise diagnosis of plant diseases has been a …

[PDF][PDF] Image-based identification of maydis leaf blight disease of maize (Zea mays) using deep learning

MA Haque, S Marwaha, A Arora, RK Paul… - Indian J. Agric …, 2021 - academia.edu
In recent years, deep learning techniques have become very popular in the field of image
recognition and classification. Image-based diagnosis of diseases in crops using deep …

[PDF][PDF] Plant Leaf Classification and Comparative Analysis of Combined Feature Set Using Machine Learning Techniques.

S Ariyapadath - Traitement du Signal, 2021 - researchgate.net
Accepted: 23 November 2021 The main purpose of this research work is to apply machine
learning and image processing techniques for plant classification efficiently. In the plant …