In results of imaging sensor B, the estimation models usingstructural indices and simple ratio on DP were divided into low to intermediate FW andintermediate to high FW. The models using simple ratio calculatedby same bands of DP were feasible to accurately estimate FW(R2 of more than 0.946 withRMSE of less than 169.5 g). The estimationmodels using simple ratio calculated by red edge and visible bands of NP showed betterperformance than other models, but RMSE was high. In results of imaging sensor A, the estimation models using structural indices andsimple ratio were divided into NP and DP due to different attribute of reflectance in canopieswith changed environment condition depending on different planting dates. In this study, models for monitoring freshweight(FW), one of the major growth factors of Chinese cabbage, were developed withstructural indices and simple ratio calculated from bands in remotely sensed canopies by NIR,RE(imaging sensor A) and multispec-4c sensors(imaging sensor B) equipped with fixed-wingUAV depending on vegetation stages of normal planting(NP) and delayed planting(DP) Chinesecabbages. Low altitude remote sensing(LARS) system is utilized toaccurately monitor the growth status of the crops. TI - Model Assessment Multi-temporal Monitoring of Chinese Cabbage Growth using Low Altitude Remote Sensing SystemĪB - It is necessary to monitor growth status of the crops due to continuous change of climatecausing insecurity in crop cultivation. Estimation models of those calculated by red edge andvisible bands in intermediate to high FW were only possible to accurately estimate FW(R2 ofmore than 0.532 with RMSE of less than 400.7 g). As a result, estimation models of all structural indices and simpleratio in low to intermediate FW bands were advisable to estimate FW(R2 of more than 0.860with RMSE of less than 104.7 g). With high geometric resolutions and respective GSDs of down to 2.5 cm the effects of a thrips infestation in onion could be analysed and potato blight was successfully detected at an early stage of infestation.It is necessary to monitor growth status of the crops due to continuous change of climatecausing insecurity in crop cultivation. In case of barley, the NDRE index shows an average correlation of 87% with reference yield, when species are taken into account. High levels of correlation between different vegetation indices and reference yield measurements were obtained for rape and barley. These included crop yield estimation in rape and barley and plant disease detection in potato and onion cultivations. The sensors were subsequently used to address selected agronomical questions. The low-cost system, while delivering better spatial resolutions, expressed significant biases. The investigations show that measurements with the high-end system consistently match very well with ground-based field spectrometer measurements with a mean deviation of just 0.01-0.04 NDVI values. Ground-based reference measurements were obtained using a terrestrial hyperspectral field spectrometer. In our sensor comparison we included a high-end multispectral multiSPEC 4C camera with bandpass colour filters and reference channel in zenith direction and a low-cost, consumer-grade Canon S110 NIR camera with Bayer pattern colour filters. The investigations are based on a series of flight campaigns in 20 covering a number of agronomical test sites with experiments on rape, barley, onion, potato and other crops. In this paper we investigate the performance of new light-weight multispectral sensors for micro UAV and their application to selected tasks in agronomical research and agricultural practice.
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