Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks

R Alfred, JH Obit, CPY Chin, H Haviluddin, Y Lim - Ieee Access, 2021 - ieeexplore.ieee.org
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …

On the frontiers of rice grain analysis, classification and quality grading: A review

SB Ahmed, SF Ali, AZ Khan - IEEE Access, 2021 - ieeexplore.ieee.org
Rice is a high valued subsistence crop that feeds more than 3.5 billion of the world
population. Its importance can be gauged from the fact that the top five rice exporting …

Rice seed classification using machine learning and deep learning

BD Satoto, DR Anamisa, M Yusuf… - … on Informatics and …, 2022 - ieeexplore.ieee.org
Rice is a staple crop for Indonesian citizens. The need for rice increases along with
population growth, and farmers need quality rice seeds. This study compares machine …

Efficient Paddy Grain Quality Assessment Approach Utilizing Affordable Sensors

A Singh, K Raj, T Meghwar, AM Roy - AI, 2024 - mdpi.com
Paddy (Oryza sativa) is one of the most consumed food grains in the world. The process
from its sowing to consumption via harvesting, processing, storage and management require …

Research on lightweight detection algorithm for millet quality grading

Y Wang, J Shao, J Tian, F Jiao, Y Du… - Journal of Food …, 2024 - Wiley Online Library
Accurately assessing the quality of millet is of paramount importance for its storage,
processing, and consumption. In complex environments, rapidly and precisely identifying …

Efficient Paddy Grains Quality Assessment Approach Utilizing Affordable Sensors

T Kumar, A Singh, K Raj, AM Roy - Authorea Preprints, 2023 - advance.sagepub.com
In the realm of computer vision, paddy (Oryza Sativa) plays a pivotal role as a globally
consumed staple crop. Its cultivation, harvesting, processing, and storage involve intricate …

Predicting Level Measurements by Supervised Learning Based on Gabor and Smote Filters: An Industrial Non-Interacting Tanks Scenario

B Kalaiselvi, B Karthik, A Kumaravel… - International Journal of …, 2023 - World Scientific
Fluid-Level measurement is required in recognizing the state variable of a Level processing
plant for monitoring the level deviations in most the industrial plants. This issue has mostly …

[引用][C] Feature Selection for Gabor Filter Based on Level Measurement using Non-Interacting Tanks Level Images

B Kalaiselvi, B Karthik, KR CV - Turkish Journal of Computer and Mathematics …, 2022

[引用][C] A conceptual architecture for monitoring students in Zoom during online educational sessions

P Jayasinghe, E Wijerathna, SY Rajapaksha - 2022