کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6375166 | 1624709 | 2013 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor
ترجمه فارسی عنوان
برآورد غیر مخرب وضعیت نیتروژن گیاه برنج با سنسور تاج پوشش فعال چند ضلعی زراعی دایره
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
مدیریت نیتروژنی دقیق، وضعیت نیتروژن، شاخص تغذیه نیتروژن، شاخص ثبات سرخ لبه، سنسور محصول فعال تشخیص وضعیت نیتروژن، کشاورزی دقیق،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم زراعت و اصلاح نباتات
چکیده انگلیسی
Crop Circle is an active multispectral canopy sensor developed to support precision crop management. The Crop Circle ACS-470 model is user configurable, with a choice of six wavebands covering blue, green, red, red edge and near infrared spectral regions. The objectives of this study were to determine how well nitrogen (N) status of rice (Oryza sativa L.) can be estimated with the Crop Circle ACS-470 active sensor using green, red edge and near infrared (NIR) bands at key growth stages and identify important vegetation indices for estimating rice N status indicators. Six field experiments involving different N rates and two varieties were conducted in Sanjiang Plain in Heilongjiang Province, China during 2011 and 2012. Crop sensor data and plant samples were also collected from five farmers' fields to further evaluate the sensor and selected vegetation indices. The results of the study indicated that among 43 different vegetation indices evaluated, modified chlorophyll absorption reflectance index 1 (MCARI1) had consistent correlations with rice aboveground biomass (R2Â =Â 0.79) and plant N uptake (R2Â =Â 0.83) across growth stages. Four red edge-based indices, red edge soil adjusted vegetation index (RESAVI), modified RESAVI (MRESAVI), red edge difference vegetation index (REDVI) and red edge re-normalized difference vegetation index (RERDVI), performed equally well for estimating N nutrition index (NNI) across growth stages (R2Â =Â 0.76). For rice plant N concentration, the highest R2 was 0.33, and none of the indices performed satisfactorily with validation using farmers' field data. We conclude that the Crop Circle ACS-470 active canopy sensor allows users the flexibility to select suitable bands and calculate different vegetation indices and has a great potential for in-season non-destructive estimation of rice biomass, plant N uptake and NNI.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Field Crops Research - Volume 154, December 2013, Pages 133-144
Journal: Field Crops Research - Volume 154, December 2013, Pages 133-144
نویسندگان
Qiang Cao, Yuxin Miao, Hongye Wang, Shanyu Huang, Shanshan Cheng, R. Khosla, Rongfeng Jiang,