Revolutionizing Hops Plant Disease Classification: Harnessing the Power of Transfer Learning
This research work introduces an innovative approach for the classification of hops plant
diseases through the utilization of transfer learning with state-of-the-art Convolutional Neural …
diseases through the utilization of transfer learning with state-of-the-art Convolutional Neural …
Classification of corn diseases from leaf images using deep transfer learning
Corn is a mass-produced agricultural product that plays a major role in the food chain and
many agricultural products in addition to biofuels. Furthermore, households in poor countries …
many agricultural products in addition to biofuels. Furthermore, households in poor countries …
Comparative evaluation of the convolutional neural network based transfer learning models for classification of plant disease
N Pajjuri, U Kumar, R Thottolil - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The wide scale prevalence of diseases in agricultural crops affects both the production
quality and quantity of agricultural products at local to regional scale. More often than not …
quality and quantity of agricultural products at local to regional scale. More often than not …
Potato leaf disease identification using hybrid deep learning model
The potato is one of the most significant crops in the world. However, it is prone to several
leaf diseases that can result in significant productivity losses, leading to economic …
leaf diseases that can result in significant productivity losses, leading to economic …
Multiclass classification of grape diseases using deep artificial intelligence
Protecting agricultural crops is essential for preserving food sources. The health of plants
plays a major role in impacting the yield of agricultural output, and their bad health could …
plays a major role in impacting the yield of agricultural output, and their bad health could …
Enhancing sugarcane disease classification with ensemble deep learning: A comparative study with transfer learning techniques
SD Daphal, SM Koli - Heliyon, 2023 - cell.com
Deep learning practices in the agriculture sector can address many challenges faced by the
farmers such as disease detection, yield estimation, soil profile estimation, etc. In this paper …
farmers such as disease detection, yield estimation, soil profile estimation, etc. In this paper …
[PDF][PDF] Deep learning based identification of Pepper (Capsicum annuum L.) diseases: A review
CH Kim, MNR Samsuzzaman, K Ali… - Precision …, 2023 - researchgate.net
Recent advancements in plant disease identification have leveraged image processing and
deep learning techniques for automated detection. Visual deep learning systems are …
deep learning techniques for automated detection. Visual deep learning systems are …
[PDF][PDF] A novel classification approach for grape leaf disease detection based on different attention deep learning techniques
Preventing and controlling grape diseases is essential for a good grape harvest. With the
help of “single shot multibox detectors”,“faster region based convolutional neural networks” …
help of “single shot multibox detectors”,“faster region based convolutional neural networks” …
Deep learning models for enhancing potato leaf disease prediction: Implementation of transfer learning based stacking ensemble model
P Jha, D Dembla, W Dubey - Multimedia Tools and Applications, 2024 - Springer
Motivation Crop diseases pose a critical threat to global food security, causing substantial
agricultural yield losses. Manual disease identification is labor-intensive and requires …
agricultural yield losses. Manual disease identification is labor-intensive and requires …
A comparative study of grape crop disease classification using various transfer learning techniques
Grapes are one of the fruits, which provides a significant source of Vitamin C. Like the other
plant diseases, grapes plants are also affected some diseases. In order to protect the grapes …
plant diseases, grapes plants are also affected some diseases. In order to protect the grapes …