Advanced site-specific determination of grain protein content by remote sensing can provide opportunities to optimize the strategies for purchasing and pricing grain,and to maximize the grain output by adjusting field...
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Advanced site-specific determination of grain protein content by remote sensing can provide opportunities to optimize the strategies for purchasing and pricing grain,and to maximize the grain output by adjusting field *** experiments were performed to study the relationship between grain quality indicators and foliar nitrogen *** nitrogen concentration at the anthesis stage is suggested to be significantly correlated with grain protein content,while spectral vegetation index is significantly correlated to foliar nitrogen concentration around the anthesis *** on the relationships among nitrogen reflectance index(NRI),foliar nitrogen concentration,and grain protein content,a statistical evaluation model of grain protein content was *** proved to be able to evaluate foliar nitrogen concentration with a coefficient of determination of R2 = 0.7302 in year *** relationship between measured and remote sensing derived foliar nitrogen concentration had a coefficient of determination of R2 = 0.7279 in year *** results mentioned above indicate that the inversion of foliar nitrogen concentration and the evaluation of grain protein content by NRI are surprisingly good.
One of the major problems in the real time decision of agricultural intelligence expert system is how to be obtained the real time information of crops growth and its close relation environment *** result,the extracti...
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One of the major problems in the real time decision of agricultural intelligence expert system is how to be obtained the real time information of crops growth and its close relation environment *** result,the extraction of crops planting areas and their spatial distribution and their growth variety,especially when the natural disaster arises,such as drought,its spatial distribution and crops suffer from harmful degree have become the extraordinary important factors of the real time decision in agricultural intelligence expert *** order to be obtained the real time information of crops growth and its close relation environment *** the first place,this paper presents an automatic approach to the sugar-cane planting areas and its spatial distribution and growth and classification of drought extraction for mixed vegetation and hilly region,more cloud using moderate spatial resolution and high temporal resolution EOS/MODIS data around Guangxi province,south of ***,the framework and the method for knowledge expressing and inference mechanism of the real time decision of sugarcane intelligence expert system are ***,the information of sugarcane planting area and sugarcane growth variety and sugar-cane drought distribution are carried out by using multi-phase EOS/MODIS data and weather forecast are used in the sugarcane intelligence expert system,the mechanism combines concern rectangle and inference based on the produce type inference,and makes good use of their advantages.
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