A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques
Over the past decades, rice crops have been crucially acknowledged as one of the most
powerful energy streams for the production of resources. Plant phenotyping trait estimation …
powerful energy streams for the production of resources. Plant phenotyping trait estimation …
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 …
A hybrid multistage model based on YOLO and modified inception network for rice leaf disease analysis
S Deari, S Ulukaya - Arabian Journal for Science and Engineering, 2024 - Springer
Lack or excess of water, moisture, and nutrients may cause diseases in various growing
stages of rice. Unlike related studies, this work aims to detect each disease's symptom …
stages of rice. Unlike related studies, this work aims to detect each disease's symptom …
RiPa-Net: recognition of rice paddy diseases with duo-layers of CNNs fostered by feature transformation and selection
O Attallah - Biomimetics, 2023 - mdpi.com
Rice paddy diseases significantly reduce the quantity and quality of crops, so it is essential
to recognize them quickly and accurately for prevention and control. Deep learning (DL) …
to recognize them quickly and accurately for prevention and control. Deep learning (DL) …
[PDF][PDF] FACULTAD DE INGENIERÍA
EY Aguirre Rodríguez - 2023 - dspace.unitru.edu.pe
A Dios, por la vida. A mis padres, Edita y Elias, ya mis hermanos, Richard, Cristina, Elias y
Christian, por el amor, cuidado y por apoyarme siempre incondicionalmente durante mi …
Christian, por el amor, cuidado y por apoyarme siempre incondicionalmente durante mi …
Rice Leaf Disease Identification Using Adam Optimizer Based Modified Differential Evolution Algorithm
R Vijayarangan, N Yamsani… - 2023 International …, 2023 - ieeexplore.ieee.org
Recently, one of the grain-based crops that is farmed the most is rice, which is important to
the agricultural sector. Furthermore, rice is a significant crop that is consumed by almost half …
the agricultural sector. Furthermore, rice is a significant crop that is consumed by almost half …
Evaluating The Efficacy Of Hybrid Deep Learning Models In Rice Variety Classification
In this comprehensive study, we have advanced the field of agricultural technology by
developing and comparing multiple deep learning models for the classification of rice …
developing and comparing multiple deep learning models for the classification of rice …