A crop trait information acquisition system with multitag-based identification technologies for breeding precision management

Han, Yanyun; Wang, Kaiyi; Liu, Zhongqiang; Zhang, Qi; Pan, Shouhui; Zhao, Xiangyu; Wang, Shufeng

doi:10.1016/j.compag.2017.01.004

Cited by 18 publications

(9 citation statements)

References 13 publications

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“…Using a crop breeding information management system to manage and maintain breeding information can clearly establish the relationship among various data, and the system can be used to analyze these data. Many advanced foreign seed enterprises-such as Pioneer, Syngenta, and Monsanto-have established modern breeding information management systems based on information technology [3]. These systems provide strong technical support for the efficient statistical analysis of massive breeding data.…”

Section: Introductionmentioning

confidence: 99%

Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis

et al. 2020

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Combining ability analysis can be used to preliminarily identify the advantages and disadvantages of combinations and parents in earlier generations, enabling breeders to reduce the range of material, save breeding time, and improve breeding efficiency. An approach for combining ability analysis through the hybrid crop breeding information management system is presented. The general combining ability prediction effect of parents and the specific combining ability prediction effect of combinations are calculated to analyze hybrid combinations using the hybrid crop breeding information management system. The results provide the basis for parent selection and combination selection. The plant breeding trial management function of the system can provide convenient diallel crossing trial design, field planting plan, and combining ability analysis. In the system, the genealogy of breeding materials is traced with the combining ability test crosses. The selection of high-generation breeding materials can be performed in accordance with the combining ability test results of early generation materials. The system has been successfully applied to a large Chinese seed company. The combining ability test function automates data analysis and eliminates days in the decision-making process. The efficiency of the combining ability test analysis and test report generation has improved to more than double by using the system.

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Section: Introductionmentioning

confidence: 99%

Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis

et al. 2020

Self Cite

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“…It consists of a series of white and black squares, called modules, placed in a particular order (Han et al, 2017). The 2D barcodes have become popular because of the widespread use of smart phones which have a camera, the 2D barcodes have various applications such as electronic coupons, advertising, tickets and payment by code scanning billboards and so on.…”

Section: Quick Response Codementioning

confidence: 99%

Real-Time Data Capture Model for Accelerated Payment of Small-Scale Farmers

Mwansa¹,

Phiri²

2018

American Journal of Engineering and Applied Sciences

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Most developing countries especially in Africa face a number of challenges in the area of food security. These challenges include proliferation, theft, poor inventory system, poor transport and communication network. Zambia is one of the countries with these challenges and has been losing millions of dollars each year due to various challenges in managing the inventory system. In this paper, we are proposing a model for the inventory system based on Quick Response (QR) and cloud computing for real-time capture of grain bags brought in by farmers at the satellite depot. The government supplies farming input to local farmers and buys the grain back from the farmers. This study is looking at part of the buying process which requires the movement of grain from the local farmer to the government. The grain forms part of the national food storage reserve. The proposed system first requires tagging the grain bags then capture the details of the farmer and attach to the grain bags. Our proposed model based on cloud technologies is integrated with the mobile application used to read the QR code attached to the grain bags. These details are then linked to the details of the farmer in the database. These captured data regarding the farmer and grain bags supplied at the satellite depot are made available to the decision makers in real-time. Out results show that the proposed model will helps to address a number of challenges that the current system has been facing. These include accelerated process of paying the local farmers supplying grain to the government which used to take months. It will also help to give the grain stock statistics in real time per region and the country at large. This model will be very useful for most developing countries in managing their grain.

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“…Compared with traditional GIS software, WebGIS has lower application threshold, wider application range, more timely data update, lower construction cost, and higher security. Many large Internet companies, such as Google, Baidu, [51,52] is the trademark for a type of 2D barcode. RFID [52,53] uses electromagnetic fields for automatically identifying and tracking tags attached to objects.…”

Section: Webgismentioning

confidence: 99%

“…Many large Internet companies, such as Google, Baidu, [51,52] is the trademark for a type of 2D barcode. RFID [52,53] uses electromagnetic fields for automatically identifying and tracking tags attached to objects. In this study, QR code and RFID technologies are used for sample identification by scanning barcodes or reading RFID tags with smartphones.…”

Section: Webgismentioning

confidence: 99%

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Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China

Pan

Wang

et al. 2017

Sustainability

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Heavy metal pollution in farmlands is a serious threat to sustainable agricultural development and has become a major agro-ecological problem that has attracted public concern in China. This study proposes a soil-crop collaborative risk assessment model that aims to assess the potential safety risks of heavy metal pollution in farmland soils by considering the concentrations of heavy metals in soils and the accumulation effects of heavy metals in crops. Based on these effects, a decision support system for risk assessment of heavy metal pollution in farmland soil is established, in which technologies such as web-based geographic information system, quick response code, radio frequency identification, and web service are introduced as the bases. The proposed system is composed of a mobile data acquisition terminal (MDAT) and a web-based information system (WIS). The MDAT, which is a portable computerized device running on the Android platform, is used for data acquisition or query, and the WIS is used for risk assessment, data management, and information visualization. The system is employed in some county-level cities in China for risk assessment and supervision of heavy metal pollution in farmlands. The practical application results show that the system provides highly efficient decision support for risk assessment of heavy metal pollution in farmland soils.

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A crop trait information acquisition system with multitag-based identification technologies for breeding precision management

Cited by 18 publications

References 13 publications

Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis

Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis

Real-Time Data Capture Model for Accelerated Payment of Small-Scale Farmers

Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China

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