Estimating biophysical properties of coffee (Coffea canephora) plants with above-canopy field measurements, using CropSpec®
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| Authors: | B. Widjaja Putra1,2, P. Soni1, E. Morimoto3, P. Pujiyanto4 1Agricultural Systems and Engineering, School of Environment, Resources and Development (SERD), Asian Institute of Technology, Pathum Thani 12120, Thailand 2Faculty of Agricultural Technology, Jember University, Jember 68121, East Java, Indonesia 3Laboratory of Bioproduction System Engineering, Faculty of Agriculture, Tottori University, 4-101 Koyama Tottori, 680-8553, Japan 4Indonesian Coffee and Cocoa Research Institute (ICCRI), Jember, East Java, Indonesia |
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| Abstract : | Remote sensing technologies have been applied to many crops, but tree crops like Robusta coffee (Coffea canephora) under shade conditions require additional attention while making above-canopy measurements. The objective of this study was to determine how well chlorophyll and nitrogen status of Robusta coffee plants can be estimated with the laser-based (CropSpec®) active sensor. This study also identified appropriate vegetation indices for estimating Nitrogen content by above-canopy measurement, using near-infra red and red-edge bands. Varying light intensity and different background of the plants were considered in developing the indices. Field experiments were conducted involving different non-destructive tools (CropSpec® and SPAD-502 chlorophyll meter). Subsequently, Kjeldahl laboratory analyses were performed to determine the actual Nitrogen content of the plants with different ages and field conditions used in the non-destructive previous stage. Measurements were undertaken for assessing the biophysical properties of tree plant. The usefulness of near-infrared and red-edge bands from these sensors in measuring critical nitrogen levels of coffee plants by above-canopy measurement are investigated in this study. |
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| Keywords : | CropSpec®, Coffea canephora, above-canopy measurement, nitrogen content, chlorophyll content | ||||||||||
| Language : | English | ||||||||||