[HTML][HTML] Tomato leaf disease identification via two–stage transfer learning approach
In the last ten years, there has been an upsurge in focus on sustainable agribusiness as a
response to the bio-hazards posed by the effects of climate change, severe weather events …
response to the bio-hazards posed by the effects of climate change, severe weather events …
[HTML][HTML] Critical quantitative evaluation of integrated health management methods for fuel cell applications
Online fault diagnostics is a crucial consideration for fuel cell systems, particularly in mobile
applications, to limit downtime and degradation, and to increase lifetime. Guided by a critical …
applications, to limit downtime and degradation, and to increase lifetime. Guided by a critical …
Development of a knowledge-based expert system for diagnosing post-harvest diseases of apple
Post-harvest diseases are one of the main causes of economical losses in the apple fruit
production sector. Therefore, this paper presents an application of a knowledge-based …
production sector. Therefore, this paper presents an application of a knowledge-based …
Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain
In this paper, we propose a model for building natural language explanations for Bayesian
Network Reasoning in terms of factor arguments, which are argumentation graphs of flowing …
Network Reasoning in terms of factor arguments, which are argumentation graphs of flowing …
A Comprehensive Hybrid Model for Apple Fruit Disease Detection using Multi-Architecture Feature Extraction
A Sandhi, R Kumar, D Kumar, R Bhardwaj - 2024 - researchsquare.com
The agriculture industry is critical to the global economy, with product quality having a direct
impact on marketability and waste management. Apples, one of the most extensively …
impact on marketability and waste management. Apples, one of the most extensively …
Analysis of Deep Learning Models for Potato Leaf Disease Classification and Prediction
Plant diseases reduce yields, directly affecting domestic and global food production
systems. Using image classification and early prediction of plant diseases can help us to …
systems. Using image classification and early prediction of plant diseases can help us to …
Identification of Rice Leaf Disease Using Gaussian Mixture Model: A Machine Learning Approach Using Image Classification Techniques
B Sasmal, RS Goswami, MP Dutta - Deep Learning Applications in …, 2025 - taylorfrancis.com
Leaf diseases are a major concern factor for vertical farming in India as a tropical cultivation-
oriented country, and they can have a significant negative impact on production and the …
oriented country, and they can have a significant negative impact on production and the …