Justification and selection of vegetation indices to determine the early soybeans readiness for harvesting

Курбанов, Р. К.; Захарова, Н. И.

doi:10.1051/e3sconf/202127301008

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…The use of UAVs makes it possible to study breeding crops and obtain objective data on several signs and physiological qualities of studied crops [21][22][23]. In the study of soybean plants, various vegetation indices are used [24][25][26] for phenotyping [27], yield forecasting [28][29][30], flood stress assessment [31], drought [32], detection of weeds [33], and fertilizing [34]. The issue of assessing the field germination of soybean crops using multispectral data was not sufficiently disclosed, and its further study is relevant.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Field Germination of Soybean Breeding Crops Using Multispectral Data from UAV

et al. 2023

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The use of multispectral aerial photography data contributes to the study of soybean plants by obtaining objective data. The evaluation of field germination of soybean crops was carried out using multispectral data (MSD). The purpose of this study was to develop ranges of field germination of soybean plants according to multispectral survey data from an unmanned aerial vehicle (UAV) for three years (2020, 2021, and 2022). As part of the ground-based research, the number of plants that sprang up per unit area was calculated and expressed as a percentage of the seeds sown. A DJI Matrice 200 Series v2 unmanned aerial vehicle and a MicaSense Altum multispectral camera were used for multispectral aerial photography. The correlation between ground-based and multispectral data was 0.70–0.75. The ranges of field germination of soybean breeding crops, as well as the vegetation indices (VIs) normalized difference vegetation index (NDVI), normalized difference red edge index (NDRE), and chlorophyll index green (ClGreen) were calculated according to Sturges’ rule. The accuracy of the obtained ranges was estimated using the mean absolute percentage error (MAPE). The MAPE values did not exceed 10% for the ranges of the NDVI and ClGreen vegetation indices, and were no more than 18% for the NDRE index. The final values of the MAPE for the three years did not exceed 10%. The developed software for the automatic evaluation of the germination of soybean crops contributed to the assessment of the germination level of soybean breeding crops using multispectral aerial photography data. The software considers data of the three vegetation indices and calculated ranges, and creates an overview layer to visualize the germination level of the breeding plots. The developed method contributes to the determination of field germination for numerous breeding plots and speeds up the process of breeding new varieties.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Field Germination of Soybean Breeding Crops Using Multispectral Data from UAV

et al. 2023

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“…The SVI can indicate physiological processes, vegetation vigor, and unhealthy vegetation under stressful conditions [34][35][36][37][38][39][40][41]. The use of visible RGB (visible red-green-blue spectral bands) indexes, such as the triangular greenness index (TGI) [42,43], amplifies the range of sensors for plant monitoring, including smartphone cameras [44] and apps [45] as tools for crop monitoring and management.…”

Section: Introductionmentioning

confidence: 99%

Use of Visible Spectral Index and Soybean Plant Variables to Study Hidden Nematicide Phytotoxicity

Lemes,

Santos,

Coelho

et al. 2023

AgriEngineering

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Significant crop losses are due to plant-parasitic nematodes. Nematicides are expensive and potentially toxic to men, the environment, and plants. This study evaluated the hidden phytotoxicity effects of nematicides in soybeans. Two soybean cultivars (8473RSF and M7198IPRO) were evaluated with five nematicide treatments (biological, cadusaphos, abamectin, fluensulfone, and an untreated control) for changes in chlorophylls, biometrics, and spectral (TGI visible spectral index captured with a smartphone camera) variables to determine and anticipate the identification of plant stresses. Evaluations occurred 33, 47, and 66 days after sowing (DAS). The a/b chlorophyll proportion was greatest for M7198IPRO and cadusaphos. The chlorophyll variables did not present significant interactions or differences at 47 DAS, indicating that possible nematicide effects were transient and should be evaluated earlier than 33 DAS. Leaf area, leaf mass, and shoot mass were smaller for 8473RSF and outstanding for abamectin and fluensulfone. The response of the spectral index did not present significant interaction among the factors; however, at 33 and 47 DAS, the index was low for 8473RSF and lowest for cadusaphos only at 33 DAS. The correlations between the spectral index and other variables were significant and moderate for soybean total leaf area. Although no apparent phytotoxicity symptoms caused by nematicides were observed, the visible vegetation index generated using a smartphone camera can still improve crop management solutions.

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Study of net photosynthetic productivity, nitrogenase activity and field germination for different soybean genotypes and their correlations with the main vegetacinon indices

Martynov,

Polukhin,

Kiryukhin

2024

Vestn. Novosib. gos. agrar. univ.

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The article presents part of the experience in the study of soybean breeding material in the fields of the Federal State Budgetary Scientific Institution «Federal Scientific Center of Legumes and Groat Crops». The studies were conducted in years characterized by contrasting (different) weather conditions, and the varieties and breeding numbers presented in the study differed among themselves in the traits of growth type, precocity and branching. The traits such as net photosynthetic productivity and nitrogenase activity investigated in the bean formation phase were depicted. The cultivars with the highest net photosynthetic productivity at the bean formation phase in 2022 and 2023 were identified, and breeding numbers with low net photosynthetic productivity were noted. Nitrogenase activity of the studied cultivars in the phase of bean formation in 2022 and 2023 was determined. Variety samples possessing the highest nitrogenase activity were identified, as well as selection numbers with low values of this indicator. Soybean genotypes with minimal annual variation of nitrogenase activity in the phase of bean formation were found, which can be used for further selection in the future. Correlations between net photosynthetic productivity, nitrogenase activity, field germination and vegetation indices (NDVI, NDRE, ClGreen, GNDVI, MCARI) were calculated, and the phase of soybean development at which vegetation indices are most optimally applicable for germination assessment was determined.

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Justification and selection of vegetation indices to determine the early soybeans readiness for harvesting

Cited by 3 publications

References 27 publications

Evaluation of Field Germination of Soybean Breeding Crops Using Multispectral Data from UAV

Evaluation of Field Germination of Soybean Breeding Crops Using Multispectral Data from UAV

Use of Visible Spectral Index and Soybean Plant Variables to Study Hidden Nematicide Phytotoxicity

Study of net photosynthetic productivity, nitrogenase activity and field germination for different soybean genotypes and their correlations with the main vegetacinon indices

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