[HTML][HTML] Lightweight federated learning for rice leaf disease classification using non independent and identically distributed images
Rice (Oryza sativa L.) is a vital food source all over the world, contributing 15% of the protein
and 21% of the energy intake per person in Asia, where most rice is produced and …
and 21% of the energy intake per person in Asia, where most rice is produced and …
[HTML][HTML] Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques
Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …
cause significant damage to crop cultivation, leading to reduced yields and economic …
[HTML][HTML] Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
H Ning, S Liu, Q Zhu, T Zhou - Frontiers in Plant Science, 2023 - frontiersin.org
There are many rice diseases, which have very serious negative effects on rice growth and
final yield. It is very important to identify the categories of rice diseases and control them. In …
final yield. It is very important to identify the categories of rice diseases and control them. In …
[HTML][HTML] Federated transfer learning for rice-leaf disease classification across multiclient cross-silo datasets
Paddy leaf diseases encompass a range of ailments affecting rice plants' leaves, arising
from factors like bacteria, fungi, viruses, and environmental stress. Precision agriculture …
from factors like bacteria, fungi, viruses, and environmental stress. Precision agriculture …
[HTML][HTML] A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture
Cotton is known as 'white gold'in the agricultural industry. Agriculture is the primary source of
economic income in Bangladesh and the country's economy is heavily dependent on …
economic income in Bangladesh and the country's economy is heavily dependent on …
Lesion-aware visual transformer network for Paddy diseases detection in precision agriculture
Precision agriculture, driven by advancements in sensing technologies and data analytics,
offers promising solutions for addressing challenges in paddy disease management. Paddy …
offers promising solutions for addressing challenges in paddy disease management. Paddy …
[HTML][HTML] DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
[HTML][HTML] Enhancing rice leaf disease classification: a customized convolutional neural network approach
In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop
health and promoting sustainable food production. This study presents a detailed …
health and promoting sustainable food production. This study presents a detailed …
Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning
M Badiger, JA Mathew - Journal of Biotechnology, 2023 - Elsevier
Production of crops is increasing day by day in agriculture sectors. The insecurity of food is a
main reason of plant disease and is a main global issue that humans face these days. With …
main reason of plant disease and is a main global issue that humans face these days. With …
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification
Correct identification of tumor in brain images is critical for treatment. In the medical domain,
class distributions of recorded data could differ with locations and require high levels of …
class distributions of recorded data could differ with locations and require high levels of …