Smart farming using artificial intelligence: A review
Smart farming with artificial intelligence provides an efficient solution to today's agricultural
sustainability challenges. Machine learning, Deep learning, and time series analysis are …
sustainability challenges. Machine learning, Deep learning, and time series analysis are …
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 …
Integrative approaches in modern agriculture: IoT, ML and AI for disease forecasting amidst climate change
Plant disease forecasting models, driven by concurrent data and advanced technologies,
are reliable tools for accurate prediction of disease outbreaks in achieving sustainable and …
are reliable tools for accurate prediction of disease outbreaks in achieving sustainable and …
Rice leaf disease identification by residual-distilled transformer
C Zhou, Y Zhong, S Zhou, J Song, W Xiang - Engineering Applications of …, 2023 - Elsevier
As the worldwide planting crop, rice feeds nearly half of the world's population. However, the
continuous spread of diseases is threatening rice production. It is of great practical value to …
continuous spread of diseases is threatening rice production. It is of great practical value to …
Deep learning model for detection of brown spot rice leaf disease with smart agriculture
Given that it provides nourishment for more than half of humanity, rice is regarded as one of
the most significant plants in the world in agriculture. The quantity and quality of the product …
the most significant plants in the world in agriculture. The quantity and quality of the product …
[PDF][PDF] Evaluating the effectiveness of YOLO models in different sized object detection and feature-based classification of small objects
The YOLO tool has been increasingly developed to assist in object classification. However,
the problem of object classification has many difficulties, including small objects …
the problem of object classification has many difficulties, including small objects …
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 …
Optimal deep generative adversarial network and convolutional neural network for rice leaf disease prediction
A Stephen, A Punitha, A Chandrasekar - The Visual Computer, 2024 - Springer
Rice which is a staple food crop in most Asian countries mainly suffers from higher yield loss
due to different factors, and one of the common factors that affect rice yield is rice leaf …
due to different factors, and one of the common factors that affect rice yield is rice leaf …
ALAD-YOLO: an lightweight and accurate detector for apple leaf diseases
W Xu, R Wang - Frontiers in Plant Science, 2023 - frontiersin.org
Suffering from various apple leaf diseases, timely preventive measures are necessary to
take. Currently, manual disease discrimination has high workloads, while automated …
take. Currently, manual disease discrimination has high workloads, while automated …
Enhancing rice crop health: a light weighted CNN-based disease detection system with mobile application integration
This article introduces an advanced approach for the accurate detection of rice leaf
diseases, a critical concern in rice cultivation worldwide. Rice is a staple crop in many …
diseases, a critical concern in rice cultivation worldwide. Rice is a staple crop in many …