A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques

B Patel, A Sharaff - Multimedia Tools and Applications, 2024 - Springer
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 …

Enhancing rice leaf disease classification: a customized convolutional neural network approach

AK Abasi, SN Makhadmeh, OA Alomari, M Tubishat… - Sustainability, 2023 - mdpi.com
In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop
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 …

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) …

[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 …

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 …

Evaluating The Efficacy Of Hybrid Deep Learning Models In Rice Variety Classification

MAA Mamun, SRI Karim, MI Sarkar, MZ Alam - 2024 - papers.ssrn.com
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 …