Exploring the Potential of Convolutional Neural Networks in Automatic Diagnosis of Dragon Fruit Diseases from Plant Photographs
Numerous instances of dragon fruit diseases over the years have caused an estimated 14%
annual crop loss globally, affecting untold millions of people. The study of dragon fruit …
annual crop loss globally, affecting untold millions of people. The study of dragon fruit …
Fast and accurate multi-classification of kiwi fruit disease in leaves using deep learning approach
Kiwi leaf disease manual detection is a time-consuming method that typically calls for the
understanding of actual professionals. This study presents a machine learning approach for …
understanding of actual professionals. This study presents a machine learning approach for …
Rice Leaf blight Disease detection using multi-classification deep learning model
One of the main crops in agricultural fields is considered to be rice, which is produced and
used extensively over the world. Due to this very reason, there is always a high risk of rice …
used extensively over the world. Due to this very reason, there is always a high risk of rice …
Deep learning based multi-classification model for rice disease detection
To recognise and categorise images of rice diseases, a A convolutional neural network
(CNN) model built on deep learning (DL) has been developed. The model is developed for …
(CNN) model built on deep learning (DL) has been developed. The model is developed for …
Transforming Agriculture: Federated Learning CNNs for Wheat Disease Severity Assessment
It is crucial to correctly identify and evaluate wheat illnesses to stop their growth and boost
farming output. This research study intends to use CNN with collaborative learning to …
farming output. This research study intends to use CNN with collaborative learning to …
Precision Agriculture: Classifying Banana Leaf Diseases with Hybrid Deep Learning Models
The majority of the people in India dependent on farming to earn a living. As a due to climate
change, farmers face various challenges. One of them is a reduction in yield, and one of the …
change, farmers face various challenges. One of them is a reduction in yield, and one of the …
Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification
The mango leaf powdery mildew disease poses a serious threat to mango production
society globally by significantly lowering yield and quality. For timely intervention and …
society globally by significantly lowering yield and quality. For timely intervention and …
Hybrid CNN-SVM Approach with Regularization for Accurate Classification of Images: A Case Study on Rudraksha Beads
Based on the results obtained from the classification of the different types of Rudraksha
beads using Based on the convolutional neural network model, it can be inferred that the …
beads using Based on the convolutional neural network model, it can be inferred that the …
Agriculture Breakthrough: Federated ConvNets for Unprecedented Maize Disease Detection and Severity Estimation
Maize is an important crop all over the globe, producing food, animal feed, and raw
materials for various businesses. However, maize production is jeopardized by many …
materials for various businesses. However, maize production is jeopardized by many …
[PDF][PDF] Crop detection and maturity classification using a yolov5-based image analysis
In recent years, the accurate identification of chili maturity stages has become essential for
optimizing cultivation processes. Conventional methodologies, primarily reliant on manual …
optimizing cultivation processes. Conventional methodologies, primarily reliant on manual …