Skip Content
You are currently on the new version of our website. Access the old version .

29 Results Found

  • Article
  • Open Access

SimpleEfficientCNN: A Lightweight and Efficient Deep Learning Framework for High-Precision Rice Seed Classification

  • Xiaofei Wang,
  • Zhanhua Lu,
  • Tengkui Chen,
  • Zhaoyang Pan,
  • Wei Liu,
  • Shiguang Wang,
  • Haoxiang Wu,
  • Hao Chen,
  • Liting Zhang and
  • Xiuying He

Rice seed variety classification is crucial for seed quality control and breeding, yet practical deployment is often limited by the computational and memory demands of modern deep models. We propose SimpleEfficientCNN (SimpleEfficient: simple & e...

  • Article
  • Open Access
8 Citations
3,105 Views
18 Pages

27 March 2023

Graph convolutional neural network architectures combine feature extraction and convolutional layers for hyperspectral image classification. An adaptive neighborhood aggregation method based on statistical variance integrating the spatial information...

  • Article
  • Open Access
13 Citations
3,818 Views
16 Pages

Multi-Modal Late Fusion Rice Seed Variety Classification Based on an Improved Voting Method

  • Xinyi He,
  • Qiyang Cai,
  • Xiuguo Zou,
  • Hua Li,
  • Xuebin Feng,
  • Wenqing Yin and
  • Yan Qian

Rice seed variety purity, an important index for measuring rice seed quality, has a great impact on the germination rate, yield, and quality of the final agricultural products. To classify rice varieties more efficiently and accurately, this study pr...

  • Article
  • Open Access
19 Citations
4,440 Views
18 Pages

A Deep Learning Framework for Processing and Classification of Hyperspectral Rice Seed Images Grown under High Day and Night Temperatures

  • Víctor Díaz-Martínez,
  • Jairo Orozco-Sandoval,
  • Vidya Manian,
  • Balpreet K. Dhatt and
  • Harkamal Walia

28 April 2023

A framework combining two powerful tools of hyperspectral imaging and deep learning for the processing and classification of hyperspectral images (HSI) of rice seeds is presented. A seed-based approach that trains a three-dimensional convolutional ne...

  • Article
  • Open Access
19 Citations
2,463 Views
12 Pages

25 June 2022

Rice blast is a serious threat to rice yield. Breeding disease-resistant varieties is one of the most economical and effective ways to prevent damage from rice blast. The traditional identification of resistant rice seeds has some shortcoming, such a...

  • Article
  • Open Access
29 Citations
5,914 Views
15 Pages

Weedy Rice Classification Using Image Processing and a Machine Learning Approach

  • Rashidah Ruslan,
  • Siti Khairunniza-Bejo,
  • Mahirah Jahari and
  • Mohd Firdaus Ibrahim

Weedy rice infestation has become a major problem in all rice-growing countries, especially in Malaysia. Challenges remain in finding a rapid technique to identify the weedy rice seeds that tend to pose similar taxonomic and physiological features as...

  • Review
  • Open Access
184 Citations
23,746 Views
17 Pages

The Rice Alpha-Amylase, Conserved Regulator of Seed Maturation and Germination

  • Rebecca Njeri Damaris,
  • Zhongyuan Lin,
  • Pingfang Yang and
  • Dongli He

Alpha-amylase, the major form of amylase with secondary carbohydrate binding sites, is a crucial enzyme throughout the growth period and life cycle of angiosperm. In rice, alpha-amylase isozymes are critical for the formation of the storage starch gr...

  • Article
  • Open Access
6 Citations
2,973 Views
18 Pages

Age Classification of Rice Seeds in Japan Using Gradient-Boosting and ANFIS Algorithms

  • Namal Rathnayake,
  • Akira Miyazaki,
  • Tuan Linh Dang and
  • Yukinobu Hoshino

5 March 2023

The rapidly changing climate affects an extensive spectrum of human-centered environments. The food industry is one of the affected industries due to rapid climate change. Rice is a staple food and an important cultural key point for Japanese people....

  • Article
  • Open Access
10 Citations
2,419 Views
24 Pages

7 June 2024

Rice is one of the most important crops for food supply, and there are multiple differences in the quality of rice in different geographic regions, which have a significant impact on subsequent yields and economic benefits. The traditional rice ident...

  • Article
  • Open Access
45 Citations
5,758 Views
15 Pages

Selection of Optimal Hyperspectral Wavebands for Detection of Discolored, Diseased Rice Seeds

  • Insuck Baek,
  • Moon S. Kim,
  • Byoung-Kwan Cho,
  • Changyeun Mo,
  • Jinyoung Y. Barnaby,
  • Anna M. McClung and
  • Mirae Oh

12 March 2019

The inspection of rice grain that may be infected by seedborne disease is important for ensuring uniform plant stands in production fields as well as preventing proliferation of some seedborne diseases. The goal of this study was to use a hyperspectr...

  • Article
  • Open Access
86 Citations
7,057 Views
14 Pages

14 June 2019

Seed vitality is one of the primary determinants of high yield that directly affects the performance of seedling emergence and plant growth. However, seed vitality may be lost during storage because of unfavorable conditions, such as high moisture co...

  • Article
  • Open Access
21 Citations
5,193 Views
16 Pages

HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds

  • Tian Gao,
  • Anil Kumar Nalini Chandran,
  • Puneet Paul,
  • Harkamal Walia and
  • Hongfeng Yu

8 December 2021

High-throughput, nondestructive, and precise measurement of seeds is critical for the evaluation of seed quality and the improvement of agricultural productions. To this end, we have developed a novel end-to-end platform named HyperSeed to provide hy...

  • Article
  • Open Access
39 Citations
5,647 Views
19 Pages

26 June 2021

Hyperspectral technology is used to obtain spectral and spatial information of samples simultaneously and demonstrates significant potential for use in seed purity identification. However, it has certain limitations, such as high acquisition cost and...

  • Article
  • Open Access
7 Citations
5,662 Views
16 Pages

Identification of Male and Female Parents for Hybrid Rice Seed Production Using UAV-Based Multispectral Imagery

  • Hanchao Liu,
  • Yuan Qi,
  • Wenwei Xiao,
  • Haoxin Tian,
  • Dehua Zhao,
  • Ke Zhang,
  • Junqi Xiao,
  • Xiaoyang Lu,
  • Yubin Lan and
  • Yali Zhang

Identifying and extracting male and female parent of hybrid rice and then accurately judging the spikelet flowering of male parents is the basis of hybrid rice pollination. Currently, male parent flowering information extraction for hybrid rice is ba...

  • Article
  • Open Access
3 Citations
2,090 Views
17 Pages

Study on Rice Origin and Quality Identification Based on Fluorescence Spectral Features

  • Yixin Qiu,
  • Yong Tan,
  • Yingying Zhou,
  • Zhipeng Li,
  • Zhuang Miao,
  • Changming Li,
  • Xitian Mei,
  • Chunyu Liu and
  • Xing Teng

6 October 2024

The origin of agricultural products significantly influences their quality and safety. Fluorescence spectroscopy was used to analyse Japonica rice 830, grown in different areas of Jilin Province, by examining rice seed, brown rice, and rice flour fro...

  • Article
  • Open Access
21 Citations
4,233 Views
19 Pages

14 February 2020

Cultivating rice in wet or water direct seeding systems is simple and time and labor efficient. Rice (Oryza sativa) seeds are a unique cereal that can germinate not only when submerged, but also in anoxic conditions. Many complicated hormone signals...

  • Article
  • Open Access
189 Citations
12,121 Views
12 Pages

12 July 2013

A near-infrared (NIR) hyperspectral imaging system was developed in this study. NIR hyperspectral imaging combined with multivariate data analysis was applied to identify rice seed cultivars. Spectral data was exacted from hyperspectral images. Along...

  • Article
  • Open Access
6 Citations
3,398 Views
17 Pages

Detection of Rice Spikelet Flowering for Hybrid Rice Seed Production Using Hyperspectral Technique and Machine Learning

  • Yali Zhang,
  • Luchao Bai,
  • Yuan Qi,
  • Huasheng Huang,
  • Xiaoyang Lu,
  • Junqi Xiao,
  • Yubin Lan,
  • Muhua Lin and
  • Jizhong Deng

Effective detection of rice spikelet flowering is crucial to the determination of optimal pollination timing for hybrid rice seed production. Currently, the detection of rice spikelet flowering status relies on manual observation of farmers, which ha...

  • Article
  • Open Access
11 Citations
2,109 Views
10 Pages

9 May 2024

The origin of agricultural products is crucial to their quality and safety. This study explored the differences in chemical composition and structure of rice from different origins using fluorescence detection technology. These differences are mainly...

  • Article
  • Open Access
6 Citations
3,416 Views
21 Pages

Early Mapping Method for Different Planting Types of Rice Based on Planet and Sentinel-2 Satellite Images

  • Yunfei Yu,
  • Linghua Meng,
  • Chong Luo,
  • Beisong Qi,
  • Xinle Zhang and
  • Huanjun Liu

4 January 2024

In Northeast China, transplanted rice cultivation has been adopted to extend the rice growing season and boost yields, responding to the limitations of the cumulative temperature zone and high food demand. However, direct-seeded rice offers advantage...

  • Article
  • Open Access
12 Citations
6,195 Views
15 Pages

Storage Fungi and Mycotoxins Associated with Rice Samples Commercialized in Thailand

  • Seavchou Laut,
  • Saranya Poapolathep,
  • Onuma Piasai,
  • Sujinda Sommai,
  • Nattawut Boonyuen,
  • Mario Giorgi,
  • Zhaowei Zhang,
  • Johanna Fink-Gremmels and
  • Amnart Poapolathep

20 January 2023

The study focused on the examination of the different fungal species isolated from commercial rice samples, applying conventional culture techniques, as well as different molecular and phylogenic analyses to confirm phenotypic identification. Additio...

  • Article
  • Open Access
36 Citations
4,112 Views
16 Pages

30 September 2020

Genes of the F-box family play specific roles in protein degradation by post-translational modification in several biological processes, including flowering, the regulation of circadian rhythms, photomorphogenesis, seed development, leaf senescence,...

  • Article
  • Open Access
10 Citations
3,939 Views
16 Pages

Development of Food Group Tree-Based Analysis and Its Association with Non-Alcoholic Fatty Liver Disease (NAFLD) and Co-Morbidities in a South Indian Population: A Large Case-Control Study

  • Amrita Vijay,
  • Amina Al-Awadi,
  • Jane Chalmers,
  • Leena Balakumaran,
  • Jane I. Grove,
  • Ana M. Valdes,
  • Moira A. Taylor,
  • Kotacherry T. Shenoy and
  • Guruprasad P. Aithal

8 July 2022

Background: Non-alcoholic fatty liver disease (NAFLD) is a global problem growing in parallel to the epidemics of obesity and diabetes, with South Asians being particularly susceptible. Nutrition and behaviour are important modifiers of the disease;...

  • Article
  • Open Access
45 Citations
7,126 Views
18 Pages

Automatic Rice Disease Detection and Assistance Framework Using Deep Learning and a Chatbot

  • Siddhi Jain,
  • Rahul Sahni,
  • Tuneer Khargonkar,
  • Himanshu Gupta,
  • Om Prakash Verma,
  • Tarun Kumar Sharma,
  • Tushar Bhardwaj,
  • Saurabh Agarwal and
  • Hyunsung Kim

Agriculture not only supplies food but is also a source of income for a vast population of the world. Paddy plants usually produce a brown-coloured husk on the top and their seed, after de-husking and processing, yields edible rice which is a major c...

  • Feature Paper
  • Article
  • Open Access
1 Citations
1,205 Views
16 Pages

Genome-Wide Identification of Peanut Pyruvate Kinase Gene Family and Their Potential Roles in Seed Germination and Drought Stress Responses

  • Guanlong Chen,
  • Shaona Chen,
  • Zepeng Peng,
  • Zhirou Zou,
  • Bangyi Cheng,
  • Xiaorong Wan,
  • Zhao Zheng and
  • Bin Yang

Pyruvate kinase (PK), a pivotal enzyme in glycolysis, serves as a multifunctional regulator of plant growth, development, and stress adaptation. Despite its significance, the functional roles of PKs in peanut remain largely unexplored. Here, we perfo...

  • Article
  • Open Access
75 Citations
5,579 Views
24 Pages

27 February 2021

Visual navigation is developing rapidly and is of great significance to improve agricultural automation. The most important issue involved in visual navigation is extracting a guidance path from agricultural field images. Traditional image segmentati...

  • Feature Paper
  • Article
  • Open Access
22 Citations
4,941 Views
28 Pages

10 October 2020

Calcium (Ca2+) plays a critical role in the regulation of growth and development and environmental stress responses in plants. The membrane-associated Ca2+ transport proteins are required to mediate Ca2+ signaling and maintain Ca2+ homeostasis. Ca2+...

  • Article
  • Open Access
8 Citations
4,149 Views
21 Pages

Status of the Ex Situ and In Situ Conservation of Brazilian Crop Wild Relatives of Rice, Potato, Sweet Potato, and Finger Millet: Filling the Gaps of Germplasm Collections

  • Marcelo B. Medeiros,
  • José F. M. Valls,
  • Aluana G. Abreu,
  • Gustavo Heiden,
  • Suelma Ribeiro-Silva,
  • Solange C. B. R. José,
  • Izulmé R. I. Santos,
  • Alexandre M. A. Passos and
  • Marília L. Burle

26 March 2021

This study presents the status of ex situ and in situ conservation for the crop wild relatives of rice, potato, sweet potato, and finger millet in Brazil, and the subsequent germplasm collection expeditions. This research is part of a global initiati...

  • Article
  • Open Access
11 Citations
3,123 Views
22 Pages

Genome-Wide Identification and Functional Characterization of Stress Related Glyoxalase Genes in Brassica napus L.

  • Guixin Yan,
  • Meili Zhang,
  • Wenjie Guan,
  • Fugui Zhang,
  • Wenjun Dai,
  • Lili Yuan,
  • Guizhen Gao,
  • Kun Xu,
  • Biyun Chen and
  • Xiaoming Wu
  • + 1 author

21 January 2023

Rapeseed (Brassica napus L.) is not only one of the most important oil crops in the world, but it is also an important vegetable crop with a high value nutrients and metabolites. However, rapeseed is often severely damaged by adverse stresses, such a...