Deep learning utilization in agriculture: Detection of rice plant diseases using an improved CNN model
Rice is considered one the most important plants globally because it is a source of food for
over half the world's population. Like other plants, rice is susceptible to diseases that may …
over half the world's population. Like other plants, rice is susceptible to diseases that may …
Enhancing rice crop management: Disease classification using convolutional neural networks and mobile application integration
Early diagnosis of rice disease is important because it poses a considerable threat to
agricultural productivity as well as the global food security of the world. It is challenging to …
agricultural productivity as well as the global food security of the world. It is challenging to …
IoT-based privacy-preserving anomaly detection model for smart agriculture
K Kethineni, P Gera - Systems, 2023 - mdpi.com
Internet of Things (IoT) technology has been incorporated into the majority of people's
everyday lives and places of employment due to the quick development in information …
everyday lives and places of employment due to the quick development in information …
Strong culm: a crucial trait for developing next-generation climate-resilient rice lines
PK Guha, ND Magar, M Kommana… - … and Molecular Biology …, 2024 - Springer
Lodging, a phenomenon characterized by the bending or breaking of rice plants, poses
substantial constraints on productivity, particularly during the harvesting phase in regions …
substantial constraints on productivity, particularly during the harvesting phase in regions …
Detection of Rice Blast Disease (Magnaporthe grisea) Using Different Machine Learning Techniques
B Chakraborty, S Banerjee… - International …, 2023 - publications.openuniversitystm.com
Rice is one of the most important staple food crops in the world. Most Asian countries are
dependent on rice and huge quantities of rice are grown every year. However, there are …
dependent on rice and huge quantities of rice are grown every year. However, there are …
Audio segmentation techniques and applications based on deep learning
Audio processing has become an inseparable part of modern applications in domains
ranging from health care to speech‐controlled devices. In automated audio segmentation …
ranging from health care to speech‐controlled devices. In automated audio segmentation …
Monitoring and control system for the detection of crop health in agricultural application through an ensemble based deep learning strategy
SY Kamdi, V Biradar - Multimedia Tools and Applications, 2024 - Springer
AI had been widely employed to attain superior crop production, continuous monitoring,
disease detection and efficient supply chain management to improve the cultivation process …
disease detection and efficient supply chain management to improve the cultivation process …
Paddy Insect Identification using Deep Features with Lion Optimization Algorithm
Pests are a significant challenge in paddy cultivation, resulting in a global loss of
approximately 20% of rice yield. Early detection of paddy insects can help to save these …
approximately 20% of rice yield. Early detection of paddy insects can help to save these …
Common sources and needs of weather information for rice disease forecasting and management in coastal Bangladesh
MA Mousumi, S Paparrizos, MZ Ahmed… - NJAS: Impact in …, 2023 - Taylor & Francis
Rice farmers in coastal Bangladesh are severely affected by climate change. Climate
variability and change impact crop production in numerous ways, including by changing …
variability and change impact crop production in numerous ways, including by changing …
Using Deep Learning and Machine Learning: Real-Time Discernment and Diagnostics of Rice-Leaf Diseases in Bangladesh
Bangladesh is heavily reliant on rice production, but a staggering annual decline of 37% in
rice output due to insufficient knowledge in recognizing and managing rice plant diseases …
rice output due to insufficient knowledge in recognizing and managing rice plant diseases …