MTW European Type Trapezium Mill
Input size:30-50mm
Capacity: 3-50t/h
LM Vertical Roller Mill
Input size:38-65mm
Capacity: 13-70t/h
Raymond Mill
Input size:20-30mm
Capacity: 0.8-9.5t/h
Sand powder vertical mill
Input size:30-55mm
Capacity: 30-900t/h
LUM series superfine vertical roller grinding mill
Input size:10-20mm
Capacity: 5-18t/h
MW Micro Powder Mill
Input size:≤20mm
Capacity: 0.5-12t/h
LM Vertical Slag Mill
Input size:38-65mm
Capacity: 7-100t/h
LM Vertical Coal Mill
Input size:≤50mm
Capacity: 5-100t/h
TGM Trapezium Mill
Input size:25-40mm
Capacity: 3-36t/h
MB5X Pendulum Roller Grinding Mill
Input size:25-55mm
Capacity: 4-100t/h
Straight-Through Centrifugal Mill
Input size:30-40mm
Capacity: 15-45t/h
Hybrid rice deep processing
Yuan Longping and Hybrid Rice Research Rice Full Text
2021年12月13日 Public hybrid rice commercialization in China led to a substantial increase in rice production, improving both the yield per hectare and total production dramatically In 2021年6月1日 The development of the NMS systems enables the use of recessive nuclear genes for hybrid rice breeding and production, which overcomes the problems of traditional Innovation and development of the thirdgeneration hybrid rice 2024年2月21日 This review aims to explore the evolving landscape for hybrid rice growth and development by examining floral traits, characteristics, and breeding technology in developing new and improved varieties of hybrid rice Hybrid Rice Production: A Worldwide Review of Floral 2015年2月1日 Major factors that constrain hybrid rice development are analyzed and possible solutions to this problems are proposed Finally, the authors present methods to further Hybrid rice achievements, development and prospect in China
Research and development of hybrid rice in China
2023年8月6日 At present, the thirdgeneration hybrid rice technology has achieved initial favourable results due to its genetic stability and the advantages of free combination Hybrid rice technology is applied in the development of 2021年12月1日 A total of 784 ncRNAs (169 miRNAs, 573 lncRNAs and 42 circRNAs) showed differentially expressed in the hybrid, and their target/host genes were vital in stress tolerance, growth and development(PDF) Yuan Longping and Hybrid Rice Research2020年9月1日 Hybrid rice can be divided into three categories of strategic development: the threeline method, the twoline method, and the oneline method As the application method Hybrid Rice ScienceDirect2024年6月6日 Hybrid seed production is a labourintensive manual process that limits fully mechanized hybrid rice breeding We identify GSE3 as a gene that regulates grain size and Genetic editing of grain size genes enables fully mechanized
Establishment and Advances of ThirdGeneration Hybrid Rice
2023年12月8日 Thirdgeneration hybrid rice technology (TGHRT) is based on environmentinsensitive genic male sterility, which can effectively overcome the intrinsic problems of the 2024年6月3日 Here we report that the use of smallgrain alleles of the ideal grainsize gene GSE3 in male sterile lines enables fully mechanized hybrid seed production and dramatically Modulation of histone acetylation enables fully mechanized hybrid 2024年5月8日 Deep learning for rice leaf disease detection: ensemble learning methods, and hybrid methods for rice leaf disease classification Various hyperparameter settings, model finetuning methods, and performance metrics such as accuracy Image processing based rice plant leaves diseases in Thanjavur, Tamilnadu Cluster Comput, 22 Deep learning for rice leaf disease detection: A systematic Contents Sl No Particulars Pages 1 Introduction 1 2 Hybrid rice system 1 3 Hybrid rice progress in India 3 4 Hybrid rice research at NRRI 5 5 Hybrid rice in Odisha 6 6 Impact of NRRI’s hybrids 8 7 Hybrid rice seed system 8 8 Hybrid rice business scope 9 9 Hybrid rice seed production 9 10 Suitable area for hybrid rice seed production 23 11 Economic advantage of hybrid seed Hybrid Rice Seed ICARNRRI
Topological organization for hybrid rice growth stages Phenotype
2024年11月1日 In hybrid ricehybrid rice cropping system, the application of 125% recommended doses of fertilizer along with 5 tonnes FYM/ha during rainy season followed by 100% recommended doses of fertilizer 2019年7月1日 To address the problem of segmentation and counting rice grains in more realistic and challenging overlapping conditions, we directly worked on hybrid rice grains that were sown onto the soil by the precision seeder, from a height of 20–30 cm Grains touched each other in a natural and complex pattern, including serious and slight adhesion, crosslinking, and Segmentation and counting algorithm for touching hybrid rice 2021年6月23日 Request PDF Classification of rice varieties with deep learning methods Rice, which is among the most widely produced grain products worldwide, has many genetic varieties These varieties are Classification of rice varieties with deep learning methods2021年8月18日 1 College of Engineering, South China Agricultural University, Guangzhou, China; 2 Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, China; Rice disease has serious negative effects on crop yield, and the correct diagnosis of rice diseases is the key to avoid these effects However, the existing disease diagnosis methods for rice are neither Automatic Diagnosis of Rice Diseases Using Deep Learning
Evaluation of a Simulation Model for Deep Bed Drying of Hybrid Rice
the use of hybrid rice in rice farming In 2016, the Philippines planted 388,827 ha with hybrid rice which is only about 16% of total area planted with rice (Litonjua et al, 2017) Seeds that are harvested from field production needs to be processed such that it can be stored for a longer period without decreasing its quality Drying is an 2023年2月1日 Rice, the world’s most extensively cultivated cereal crop, serves as a staple food and energy source for over half of the global population A variety of abiotic and biotic factors such as weather conditions, soil quality, temperature, insects, pathogens, and viruses can greatly impact the quantity and quality of rice grains Studies have established that plant infections Automatic Recognition of Rice Leaf Diseases Using Transfer 2024年3月1日 Hybrid CNN Efficient Net B7: Plant Village dataset: Precision, Recall, F1score, and accuracy: 987%: universal method for choosing the most appealing features is missing (He et al, 2022) Rice blast: SVM with spectra preprocessing: Selfgenerated: Classification accuracy: 93%: The classification accuracy is inadequate (Stephen et al, 2023)DeepRice: A deep learning and deep feature based classification of Rice 2023年11月2日 This model uses the rice seed image dataset, publicly available on Kaggle The dataset consists of five types of rice seeds, namely Arborio, Ipsala, Basmati, Karacadag and Jasmine sources These five types of rice seeds are split into training and testing datasets for training and to achieve accuracy in the defined modelsHybrid Pretrained CNN for Multiclassification of Rice Plants
Application of Hybrid Deep Learning for Rice Variety Identification
2024年9月4日 The rapid advancement of deep learning has significantly transformed classification tasks across various domains, including image recognition, natural language processing, and medical diagnostics2024年6月27日 Key message Genetic editing of grain size genes quickly improves threeline hybrid rice parents to increase the appearance quality and yield of hybrid rice Abstract Grain size affects rice yield and quality In this study, we used CRISPR/Cas9 to edit the grain size gene GW8 in the maintainer line WaitaiB (WTB) and restorer line Guanghui998 (GH998) The new Rapid improvement of grain appearance in threeline hybrid rice 4 Broken Rice Based on the existing rice milling technology, 1015% of broken rice will inevitably be produced during the processing of rice The nutrients of broken rice are similar to rice, but the price is only 1/3 to 1/2 of rice 28According to rough estimates, the amount of broken rice produced each year is nearly 100 million tons, which causes great waste of rice resources and Deep Processing of Rice and Comprehensive Utilization of Its By 2024年3月22日 Recently, datadriven approaches have become the dominant solution for prediction problems in agricultural industries Several deep learning models have been applied to crop yield prediction in smart farming In this paper, we proposed an efficient hybrid deep learning model that coordinates the outcomes of a classification model and a regression model in deep Hybrid Deep Neural Networks with MultiTasking for Rice Yield
Mechanized Hybrid Rice Seed Production: Planting Density, the
2022年6月29日 The mechanized seed production of hybrid rice (Oryza sativa L) represents significant progress in modern agriculture However, the technologies and the crop management strategies in mechanized hybrid rice seed production are still immature The present study was conducted with three field experiments to explore the effects of different planting densities, the 2022年6月8日 Deep LearningBased Rice Seedling Growth Stages Detection Deep learning is an important and new branch of machine learning It originates from the artificial neural network, which learns the representation of data by constructing artificial neural network Currently, the most widely used deep learning networks are CNNsMachine Learning Approaches for Rice Seedling Growth Stages 2021年6月1日 This article reviews the history and progress of hybrid rice development Hybrid rice research was initiated back in 1964, and commercialized in 1976 Threeline and twoline system hybrid rice An automatic approach for detecting seedlings per hill of 2022年6月28日 In this project, I used Hybrid deep CNN transfer learning on rice plant images, perform classification and identification of various rice diseases I employed Transfer Learning to generate our deep learning model using Rice Leaf Dataset from a secondary source The proposed model is 908% accurate, Experiments show that the proposed approach is ricediseases GitHub Topics GitHub
Rice Quality Analysis Using Deep Learning IJRPR
Rice Quality Analysis Using Deep Learning 1Sowmiya S, In the proposed method both image processing and machine learning techniques are clubbed to analyze and grade the quality of rice kernels with the Improved KMeans Algorithm Based on Hybrid Rice Optimization Algorithm T Kanungo, D M Mount, N S Netanyahu, et al,2024年6月9日 Efficiently obtaining leaf nitrogen content (LNC) in rice to monitor the nutritional health status is crucial in achieving precision fertilization on demand Unmanned aerial vehicle (UAV)based hyperspectral technology is Enhanced Estimation of Rice Leaf Nitrogen Content via The byproducts of rice milling,such as the broken rice,rice bran,and rice husk etc,have not been fully utilized in ChinaIn this manuscript,we reviewed the progress in the comprehensive utilization of rice milling byproducts worldwideThis article may help people to improve the utilization and edible rates of the rice grain,and to enhance China's food security by the deep processing of riceDevelopment in Deep Processing Technology of Rice and by 2020年12月21日 Located in eastern China's Fujian Province, Sanming, with over 40 years of experience in breeding rice seeds, is home to the biggest hybrid rice seed breeding center in the country, producing 144 varieties of hybrid rice Sanming: China's hybrid rice seed capital CGTN
Time Efficiency Improvement for Rice Seed Identification Using Hybrid
2024年9月1日 This paper proposes a hybrid machine learning model to improve the time efficiency in identifying rice seed varieties In a conventional hybrid method, the features of the rice seed images extracted by VGG16 deep neural network are fed to support vector machine model to carry out classification taskdeveloped countries [2] Efficient valueadded deep processing of japonica rice and byproducts with poor quality of food, and ultimately industrialization, is an effective measure to transform from a large rice producing country to a rice producing power [3] Rice deep processing is based on rice, brown rice, riceDeep Processing of Rice and Comprehensive Utilization of Its By 2021年1月15日 Determination of the optimal fertilization method is crucial to maximize nitrogen use efficiency and yield of different rice cultivars Sidedeep fertilization with controlledrelease nitrogen, in The nitrogen topdressing mode of indicajaponica and indica hybrid rice deep learning techniques Furthermore, there has been very little research involved in the combinations of machine learning with deep transfer learning so it can enjoy the benefits of both methods in this model The novelty of this work is to propose a hybrid model of deep learning and machine learningAutomatic early detection of rice leaf diseases using hybrid deep
ResViTRice: A Deep Learning Model Combining Residual Module
2023年6月19日 Rice is a staple food for over half of the global population, but it faces significant yield losses: up to 52% due to leaf blast disease and brown spot diseases, respectively This study aimed at proposing a hybrid architecture, namely ResViTRice, by taking advantage of both CNN and transformer for accurate detection of leaf blast and brown spot diseases We 2023年9月29日 This paper furnishes a solution for the classification and assessment of rice grains, predicated on their dimensions and morphology, through the application of image processing techniquesQuality Analysis and Classification of Rice Grains using Image 2023年8月23日 1 Introduction Rice (Oryza sativa L) is one of the major food crops worldwide (Mohanty, 2013; Sun et al, 2023a)With population growth and economic development, it is estimated that by 2030, the world’s total rice production will have to increase by 60% and 20% in China to meet demand (Peng et al, 2009; Guo et al, 2023)Applying fertilizers, especially N Improving the yield and nitrogen use efficiency of hybrid rice 2022年5月25日 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 Detection of Rice Spikelet Flowering for Hybrid Rice
The decreasing area of hybrid rice production in China: causes
2021年7月13日 The development of hybrid rice varieties, which have been reported to outyield inbred rice varieties by about 10%, is necessary in ensuring China’s food security However, the agricultural area where hybrid rice is grown has decreased by 25% (about 5 million ha) in China since 1995 Assuming such better yield performance of hybrids compared to inbreds, the 2023年6月21日 Hyperparameter Optimization for Capsule Network Based Modified Hybrid Rice Optimization Algorithm Zhiwei Ye 1, Ziqian Fang 1, Zhina Song 1,*, Haigang Sui 2, Chunyan Yan 1, Wen Zhou 1, Mingwei Wang 1 1 Hyperparameter Optimization for Capsule Network 2024年2月21日 Rice is an important diet source for the majority of the world’s population, and meeting the growing need for rice requires significant improvements at the production level Hybrid rice production has been a significant breakthrough in this regard, and the floral traits play a major role in the development of hybrid rice In grass species, rice has structural units called Hybrid Rice Production: A Worldwide Review of Floral Traits and 2024年7月23日 Rapid and accurate diagnosis of rice diseases can prevent largescale outbreaks and reduce pesticide overuse, thereby ensuring rice yield and quality Existing research typically focuses on a limited number of rice diseases, which makes these studies less applicable to the diverse range of diseases currently affecting rice Consequently, these studies fail to Deep LearningBased Methods for MultiClass Rice Disease
Yuan Longping: hybrid rice is on the way to fulfilling its potential
2015年3月1日 Sci Bull Why did you choose to research hybrid rice in the 1960s? We know that you once studied other crops such as sweet potato Yuan After graduating from university, I was assigned to teach at an agricultural college in Hunan Province At first, I spent 2 years studying sweet potato I gradually realized, however, that rice was the staple food of China, especially 2021年6月1日 The overall detection accuracy of seedlings per hill of machinetransplanted hybrid rice was up to 935% The processing time for detecting single seedling hill image was less than 50 2020, Jiang et al, 2020), the application of stateoftheart deep learning approaches in agriculture has attracted increasing attention An automatic approach for detecting seedlings per hill of 2021年6月1日 The “threeline system”, which is also known as “the firstgeneration hybrid rice technology”, consists of a CMS line, a maintainer line, and a restorer line (Fig 1 A) [5], [6]The CMS lines are usually caused by abnormal mitochondrial genes encoding cytotoxic proteins [2], [6]There are at least seven CMS genes identified in rice, all of them encoding the Innovation and development of the thirdgeneration hybrid rice PDF On Jan 1, 2003, S S Virmani and others published TwoLine Hybrid Rice Breeding Manual Find, read and cite all the research you need on ResearchGate(PDF) TwoLine Hybrid Rice Breeding Manual ResearchGate
Identification and Classification of Rice Plant Disease Using Hybrid
The Rice crop is considered one of the most widely grown crops in Asia and it is susceptible to various types of illnesses at different stages of production Food safety and production can be affected by rice plant diseases, as well as a significant decline in the quality and quantity of agricultural goods Plant diseases can potentially prevent grain harvesting entirely in severe