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 …
Machine learning for smart agriculture and precision farming: towards making the fields talk
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …
data tsunami. In addition, man-to-machine digital data handling has magnified the …
Review of the state of the art of deep learning for plant diseases: A broad analysis and discussion
Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …
has gradually become the leading approach in many fields. It is currently playing a vital role …
[HTML][HTML] Leaf disease identification and classification using optimized deep learning
Diseases that affect plant leaves stop the growth of their individual species. Early and
accurate diagnosis of plant diseases may reduce the likelihood that the plant will suffer …
accurate diagnosis of plant diseases may reduce the likelihood that the plant will suffer …
Convolutional neural networks for texture feature extraction. Applications to leaf disease classification in precision agriculture
This paper studies the use of deep-learning models (AlexNet, VggNet, ResNet) pre-trained
on object categories (ImageNet) in applied texture classification problems such as plant …
on object categories (ImageNet) in applied texture classification problems such as plant …
A transfer learning-based artificial intelligence model for leaf disease assessment
The paddy crop is the most essential and consumable agricultural produce. Leaf disease
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
Identification of apple tree leaf diseases based on deep learning models
X Chao, G Sun, H Zhao, M Li, D He - Symmetry, 2020 - mdpi.com
Early diagnosis and accurate identification of apple tree leaf diseases (ATLDs) can control
the spread of infection, to reduce the use of chemical fertilizers and pesticides, improve the …
the spread of infection, to reduce the use of chemical fertilizers and pesticides, improve the …
A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …
plays an essential role in the farming industry. However, such detection requires extensive …
Leaf image-based plant disease identification using color and texture features
Identification of plant disease is usually done through visual inspection or during laboratory
examination which causes delays resulting in yield loss by the time identification is …
examination which causes delays resulting in yield loss by the time identification is …
Deep Learning-Based Disease Detection in Sugarcane Leaves: Evaluating EfficientNet Models
Sugarcane is a crucial agricultural crop, providing 75% of the world's sugar production. Like
all plant species, any disease that affects sugarcane can significantly impact yield and …
all plant species, any disease that affects sugarcane can significantly impact yield and …