Prediction of dry direct-seeded rice yields using chlorophyll meter, leaf color chart and GreenSeeker optical sensor in northwestern India

Ali, Amjed; Thind, H. S.; Sharma, Sandeep; Varinderpal-Singh,

doi:10.1016/j.fcr.2014.03.001

Cited by 68 publications

(43 citation statements)

References 20 publications

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“…Moreover, these relationships can be used in breeding programs as a phenotyping tool for selecting superior lines with higher N conversion efficiencies and growth potentials at anthesis. The robust relationships from PI and BT stages in this study are in agreement with the previous reports on rice stating that the PI and BT stages are the most critical crop growth stages affecting grain yield (Chang et al, 2005;Tubaña et al, 2012;Ali et al, 2014). In addition, this period also coincides with the time where topdress N is commonly applied in rice production.…”

Section: Application Of Nc Dilution Curve For In-season Yield Estimationsupporting

confidence: 91%

In-season estimation of rice grain yield using critical nitrogen dilution curve

Ata-Ul-Karim

Liu

et al. 2016

Field Crops Research

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Section: Application Of Nc Dilution Curve For In-season Yield Estimationsupporting

confidence: 91%

In-season estimation of rice grain yield using critical nitrogen dilution curve

Ata-Ul-Karim

Liu

et al. 2016

Field Crops Research

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“…At present, research institutions around the world have gained access to reflection spectra of crop canopies obtained using various devices (e.g., Cropscan multispectral radiometers [12], ASD FieldSpec 3 hyper-spectrometers [13,14], GreenSeeker sensors [15,16], and CropCircle ACS-470) [17]. The research undertaken has indicated out that there is a good correlation between the reflection spectra of crop canopies and crop nutrients.…”

Section: Introductionmentioning

confidence: 99%

Development of an Unmanned Aerial Vehicle-Borne Crop-Growth Monitoring System

Yao

JingChao

et al. 2017

Sensors

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In view of the demand for a low-cost, high-throughput method for the continuous acquisition of crop growth information, this study describes a crop-growth monitoring system which uses an unmanned aerial vehicle (UAV) as an operating platform. The system is capable of real-time online acquisition of various major indexes, e.g., the normalized difference vegetation index (NDVI) of the crop canopy, ratio vegetation index (RVI), leaf nitrogen accumulation (LNA), leaf area index (LAI), and leaf dry weight (LDW). By carrying out three-dimensional numerical simulations based on computational fluid dynamics, spatial distributions were obtained for the UAV down-wash flow fields on the surface of the crop canopy. Based on the flow-field characteristics and geometrical dimensions, a UAV-borne crop-growth sensor was designed. Our field experiments show that the monitoring system has good dynamic stability and measurement accuracy over the range of operating altitudes of the sensor. The linear fitting determination coefficients (R2) for the output RVI value with respect to LNA, LAI, and LDW are 0.63, 0.69, and 0.66, respectively, and the Root-mean-square errors (RMSEs) are 1.42, 1.02 and 3.09, respectively. The equivalent figures for the output NDVI value are 0.60, 0.65, and 0.62 (LNA, LAI, and LDW, respectively) and the RMSEs are 1.44, 1.01 and 3.01, respectively.

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“…These methods have been widely adopted in crop production and research to monitor plant N status. For example, great potential for saving N by managing fertilizer N by using LCC was reported in rice [42], while others found that the SPAD meter and NDVI measurements were superior to LCC in rice because biomass was a factor in the SPAD meter and NDVI measurements, but LCC reading was not closely related to biomass [43,44]. For other crops, like Chrysanthemum, it was indicated that NDVI values exhibited higher correlation with leaf N than SPAD and atLEAF readings [30], which was presumably due to the small leaves making it difficult to accurately determine which part of the leaf was being sensed for SPAD and atLEAF sensors.…”

Section: Discussionmentioning

confidence: 99%

Rice Leaf Lateral Asymmetry in the Relationship between SPAD and Area-Based Nitrogen Concentration

et al. 2017

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Rice leaves display lateral asymmetry around the midrib, and the narrow side exhibits higher leaf area-based nitrogen concentration (Na) and soil plant analysis development (SPAD) values than the wider side. However, the difference in the relationship between the SPAD of each side and Na of the corresponding lateral half, and the optimal position along the leaf blade for SPAD measurements are not known. In this study, the relationship between SPAD and Na of both sides of the top three leaves was determined with 17 rice varieties grown over three growing seasons in two locations. The relationship between SPAD and Na displayed leaf lateral asymmetry, in which the wide side reflected a higher coefficient of determination than the narrow side. The ability to estimate Na of the whole leaf was slightly improved by averaging SPAD values across the leaf sides and measured points for the top two leaves. Apparently, it was more accurate and easier to measure SPAD readings on the wide side than the narrow side of rice leaf blade with respect to estimating plant N status. Due to the relatively poor relationship of the upper leaf, and the structural limit for SPAD measurements of the base, this study suggests that the most suitable and representative position for SPAD meter measurement on the leaf blade of rice is the lower-middle part from the leaf apex on the wide side.

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Prediction of dry direct-seeded rice yields using chlorophyll meter, leaf color chart and GreenSeeker optical sensor in northwestern India

Cited by 68 publications

References 20 publications

In-season estimation of rice grain yield using critical nitrogen dilution curve

In-season estimation of rice grain yield using critical nitrogen dilution curve

Development of an Unmanned Aerial Vehicle-Borne Crop-Growth Monitoring System

Rice Leaf Lateral Asymmetry in the Relationship between SPAD and Area-Based Nitrogen Concentration

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