Sensor system for acquisition of vegetation indexes
ABSTRACT Vegetation indexes are important indicators of the health and yield of agricultural crops. Among the sensors used to evaluate vegetation indexes, proximal sensors can be used for real-time decision-making. Thus, the objective of this study was to develop a proximal sensor system based on ph...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Campina Grande
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| Online Access: | http://www.scielo.br/pdf/rbeaa/v25n4/1807-1929-rbeaa-25-04-0264.pdf |
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| author | Thales M. de A. Silva Domingos S. M. Valente Francisco de A. de C. Pinto Daniel M. de Queiroz Nerilson T. Santos |
| author_facet | Thales M. de A. Silva Domingos S. M. Valente Francisco de A. de C. Pinto Daniel M. de Queiroz Nerilson T. Santos |
| author_sort | Thales M. de A. Silva |
| collection | DOAJ |
| description | ABSTRACT Vegetation indexes are important indicators of the health and yield of agricultural crops. Among the sensors used to evaluate vegetation indexes, proximal sensors can be used for real-time decision-making. Thus, the objective of this study was to develop a proximal sensor system based on phototransistors to acquire and store the following vegetation indexes: normalized difference vegetation index, simple ratio, wide dynamic range vegetation index, soil-adjusted vegetation index, and optimized soil-adjusted vegetation index. The sensor system was developed using an analog circuit to acquire reflectance data from red and near-infrared bands. The sensor system was calibrated according to the results of a spectroradiometer, using Zoysia japonica grass as the target. An algorithm that calculates and stores vegetation indexes in a file was developed. The Pearson correlation between the vegetation indexes obtained with the sensor system and the spectroradiometer was evaluated. The vegetation indexes presented a Pearson correlation higher than 0.92 to the estimated values by the spectroradiometer. Under the evaluation conditions, the proposed sensor system could be used to determine all vegetation indexes evaluated. |
| format | Article |
| id | doaj-art-02757a0ffd874178919551b0dc9253aa |
| institution | DOAJ |
| issn | 1807-1929 |
| language | English |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-02757a0ffd874178919551b0dc9253aa2025-08-20T03:16:57ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-192910.1590/1807-1929/agriambi.v25n4p264-269Sensor system for acquisition of vegetation indexesThales M. de A. SilvaDomingos S. M. ValenteFrancisco de A. de C. PintoDaniel M. de QueirozNerilson T. SantosABSTRACT Vegetation indexes are important indicators of the health and yield of agricultural crops. Among the sensors used to evaluate vegetation indexes, proximal sensors can be used for real-time decision-making. Thus, the objective of this study was to develop a proximal sensor system based on phototransistors to acquire and store the following vegetation indexes: normalized difference vegetation index, simple ratio, wide dynamic range vegetation index, soil-adjusted vegetation index, and optimized soil-adjusted vegetation index. The sensor system was developed using an analog circuit to acquire reflectance data from red and near-infrared bands. The sensor system was calibrated according to the results of a spectroradiometer, using Zoysia japonica grass as the target. An algorithm that calculates and stores vegetation indexes in a file was developed. The Pearson correlation between the vegetation indexes obtained with the sensor system and the spectroradiometer was evaluated. The vegetation indexes presented a Pearson correlation higher than 0.92 to the estimated values by the spectroradiometer. Under the evaluation conditions, the proposed sensor system could be used to determine all vegetation indexes evaluated.http://www.scielo.br/pdf/rbeaa/v25n4/1807-1929-rbeaa-25-04-0264.pdfprecision agriculturephototransistorreflectanceproximal sensing |
| spellingShingle | Thales M. de A. Silva Domingos S. M. Valente Francisco de A. de C. Pinto Daniel M. de Queiroz Nerilson T. Santos Sensor system for acquisition of vegetation indexes Revista Brasileira de Engenharia Agrícola e Ambiental precision agriculture phototransistor reflectance proximal sensing |
| title | Sensor system for acquisition of vegetation indexes |
| title_full | Sensor system for acquisition of vegetation indexes |
| title_fullStr | Sensor system for acquisition of vegetation indexes |
| title_full_unstemmed | Sensor system for acquisition of vegetation indexes |
| title_short | Sensor system for acquisition of vegetation indexes |
| title_sort | sensor system for acquisition of vegetation indexes |
| topic | precision agriculture phototransistor reflectance proximal sensing |
| url | http://www.scielo.br/pdf/rbeaa/v25n4/1807-1929-rbeaa-25-04-0264.pdf |
| work_keys_str_mv | AT thalesmdeasilva sensorsystemforacquisitionofvegetationindexes AT domingossmvalente sensorsystemforacquisitionofvegetationindexes AT franciscodeadecpinto sensorsystemforacquisitionofvegetationindexes AT danielmdequeiroz sensorsystemforacquisitionofvegetationindexes AT nerilsontsantos sensorsystemforacquisitionofvegetationindexes |