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[HTML][HTML] The application of deep learning in the whole potato production Chain: A Comprehensive review
The potato is a key crop in addressing global hunger, and deep learning is at the core of
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
Early diagnosis of plant diseases is essential in reducing economic losses for farmers and
increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems …
increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems …
Role of artificial intelligence in agriculture: An analysis and advancements with focus on plant diseases
The increased demand for food is accelerating plant diseases globally. Hence, a manual
process of detection of plant diseases is almost impossible. Artificial intelligence (AI) can …
process of detection of plant diseases is almost impossible. Artificial intelligence (AI) can …
Potato harvesting prediction using an Improved ResNet-59 model
This paper highlights why it is crucial to determine crop production using artificial
intelligence for the growth of agriculture. In this paper, an elaborated ResNet-59 model has …
intelligence for the growth of agriculture. In this paper, an elaborated ResNet-59 model has …
[HTML][HTML] A novel dataset of potato leaf disease in uncontrolled environment
Potatoes are of the utmost importance for both food processing and daily consumption;
however, they are also prone to pests and diseases, which can cause significant economic …
however, they are also prone to pests and diseases, which can cause significant economic …
[HTML][HTML] A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease
Abstract Vision Transformer (ViT) has recently attracted significant attention for its
performance in image classification. However, studies have yet to explore its potential in …
performance in image classification. However, studies have yet to explore its potential in …
Improved tomato leaf disease classification through adaptive ensemble models with exponential moving average fusion and enhanced weighted gradient optimization
Tomato is one of the most popular and most important food crops consumed globally. The
quality and quantity of yield by tomato plants are affected by the impact made by various …
quality and quantity of yield by tomato plants are affected by the impact made by various …
A Comprehensive Approach Towards Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning
Wheat is one of the most extensively cultivated crops worldwide that contributes significantly
to global food caloric and protein production and is grown on millions of hectares yearly …
to global food caloric and protein production and is grown on millions of hectares yearly …
[HTML][HTML] Leveraging Convolutional Neural Networks for Disease Detection in Vegetables: A Comprehensive Review
Timely and accurate detection of diseases in vegetables is crucial for effective management
and mitigation strategies before they take a harmful turn. In recent years, convolutional …
and mitigation strategies before they take a harmful turn. In recent years, convolutional …
Enhancing disease detection with weight initialization and residual connections using LeafNet for groundnut leaf diseases
N Paramanandham, S Sundhar, P Priya - IEEE Access, 2024 - ieeexplore.ieee.org
Groundnut is a crucial crop on a global scale and is facing considerable decrease in yield
due to leaf diseases. This makes it essential for the prompt identification of these diseases to …
due to leaf diseases. This makes it essential for the prompt identification of these diseases to …