Insect Detection in Rice Crop using Google Code Lab
نویسندگان
چکیده
منابع مشابه
Google Summer of Code for Geoinformatics
The GeoTools Referencing module has been becoming one of the most powerful tools focused on coordinate reference system transformations in the Java GIS world in recent years. The Referencing module in conjunction with the Coverage module presents a really strong tool for raster operations like reprojecting and transforming. The aim of this paper is to describe new functionality that has been de...
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Emerging information about the ability of insects to detect and associatively learn has revealed that they could be used within chemical detection systems. Such systems have been developed around free-moving insects, such as honey bees. Alternatively, behavioral changes of contained insects can be interpreted by sampling air pumped over their olfactory organs. These organisms are highly sensiti...
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BACKGROUND The spread of insect-resistance transgenes from genetically engineered (GE) rice to its coexisting weedy rice (O. sativa f. spontanea) populations via gene flow creates a major concern for commercial GE rice cultivation. Transgene flow to weedy rice seems unavoidable. Therefore, characterization of potential fitness effect brought by the transgenes is essential to assess environmenta...
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Gene flow from transgenic crops allows novel traits to spread to sexually compatible weeds. Traits such as resistance to insects may enhance the fitness of weeds, but few studies have tested for these effects under natural field conditions. We created F 2 and F 3 crop-weed hybrid lineages of genetically engineered rice (Oryza sativa) using lines with two transgene constructs, cowpea trypsin inh...
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ژورنال
عنوان ژورنال: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
سال: 2021
ISSN: 1309-4653
DOI: 10.17762/turcomat.v12i2.1977