Rice growth stage classification via RF-based machine learning and image processing

RTC Sheng, YH Huang, PC Chan, SA Bhat, YC Wu… - Agriculture, 2022 - mdpi.com
Rice is one of the most significant crops cultivated in Asian countries. In Taiwan, almost half
of the arable land is used for growing rice. The life cycle of paddy rice can be divided into …

A lightweight recognition method for rice growth period based on improved YOLOv5s

K Liu, J Wang, K Zhang, M Chen, H Zhao, J Liao - Sensors, 2023 - mdpi.com
The identification of the growth and development period of rice is of great significance to
achieve high-yield and high-quality rice. However, the acquisition of rice growth period …

[HTML][HTML] A predictive analytics model with Bayesian-Optimized Ensemble Decision Trees for enhanced crop recommendation

B Motamedi, B Villányi - Decision Analytics Journal, 2024 - Elsevier
Researchers have been working on developing new effective, reliable, and environmentally
friendly crop recommendation systems. This study introduces a thorough framework for …

Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in Arabidopsis

Y Tian, L Xie, M Wu, B Yang, C Ishimwe, D Ye, H Weng - Agronomy, 2021 - mdpi.com
Salt stress is one of the abiotic factors that causes adverse effects in plants and there is an
urgent need to detect salt stress in plants as early as possible. Multicolor fluorescence …

An Assessment of Human Inspection and Deep Learning for Defect Identification in Floral Wreaths

D Caballero-Ramirez, Y Baez-Lopez, J Limon-Romero… - Horticulturae, 2023 - mdpi.com
Quality assurance through visual inspection plays a pivotal role in agriculture. In recent
years, deep learning techniques (DL) have demonstrated promising results in object …

Revolutionizing Rice Disease Diagnosis: A Fusionof Convolutional Neural Networks and Support Vector Machines

A Kaur, V Kukreja, D Banerjee… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
This study uses a CNN architecture to provide a deep learning strategy for the detection and
categorization of eight common rice illnesses. Three layers of convolution, three maximum …

Identification of pineapple maturity utilizing digital image using hybrid machine learning method

FY Manik, THF Harumy, W Akasah… - AIP Conference …, 2024 - pubs.aip.org
Indonesia is the largest pineapple exporter in the world. Pineapple (Ananas comosus L.
Merr) is a horticultural plant that is in demand by the public because it is rich in benefits at a …

Accurate recognition of rice plants based on visual and tactile sensing

X Chen, P Dang, E Zhang, Y Chen… - Journal of the Science …, 2024 - Wiley Online Library
BACKGROUND Crop recognition is the basis of intelligent agricultural machine operations.
Visual perception methods have achieved high recognition accuracy. However, the …

Composing Efficient Computational Models for Real-Time Processing on Next-Generation Edge-Computing Platforms

MA Mohsin, SN Shahrouzi, DG Perera - IEEE Access, 2024 - ieeexplore.ieee.org
In the era of IoT and smart systems, an enormous amount of data will be generated from
various IoT/smart devices in smart homes, smart cars, etc. Typically, this big data is collected …

Processing time increasement of non-rice object detection based on YOLOv3-tiny using Movidius NCS 2 on Raspberry Pi

NE Budiyanta, CO Sereati, FRG Manalu - Bulletin of Electrical Engineering …, 2022 - beei.org
This study aims to increase the processing time of detecting non-rice objects based on the
you only look once v3-tiny (YOLOv3-tiny) model. The system was developed on the …