Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
A survey of deep convolutional neural networks applied for prediction of plant leaf diseases
In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …
Tomato plant disease detection using transfer learning with C-GAN synthetic images
Plant diseases and pernicious insects are a considerable threat in the agriculture sector.
Therefore, early detection and diagnosis of these diseases are essential. The ongoing …
Therefore, early detection and diagnosis of these diseases are essential. The ongoing …
Early detection and classification of tomato leaf disease using high-performance deep neural network
Tomato is one of the most essential and consumable crops in the world. Tomatoes differ in
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …
Plant leaf disease classification using EfficientNet deep learning model
Most plant diseases show visible symptoms, and the technique which is accepted today is
that an experienced plant pathologist diagnoses the disease through optical observation of …
that an experienced plant pathologist diagnoses the disease through optical observation of …
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
Plants contribute significantly to the global food supply. Various Plant diseases can result in
production losses, which can be avoided by maintaining vigilance. However, manually …
production losses, which can be avoided by maintaining vigilance. However, manually …
Plant disease detection and classification by deep learning
Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …
is very important. Many Machine Learning (ML) models have been employed for the …
Automatic and reliable leaf disease detection using deep learning techniques
Plants are a major source of food for the world population. Plant diseases contribute to
production loss, which can be tackled with continuous monitoring. Manual plant disease …
production loss, which can be tackled with continuous monitoring. Manual plant disease …
[HTML][HTML] Recent advances in image processing techniques for automated leaf pest and disease recognition–A review
LC Ngugi, M Abelwahab, M Abo-Zahhad - Information processing in …, 2021 - Elsevier
Fast and accurate plant disease detection is critical to increasing agricultural productivity in
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
Plant disease identification using a novel convolutional neural network
The timely identification of plant diseases prevents the negative impact on crops.
Convolutional neural network, particularly deep learning is used widely in machine vision …
Convolutional neural network, particularly deep learning is used widely in machine vision …