Soybean Yield Prediction Using Remote Sensing in Southwestern Piauí State, Brazil

ANDRADE, THATIANE GOMES; Andrade, A. S. de; Oda-Souza, Melissa; Lopes, José Wellington Batista; Vieira, Paulo Fernando de Melo Jorge

doi:10.1590/1983-21252022v35n111rc

Cited by 4 publications

(2 citation statements)

References 19 publications

(34 reference statements)

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“…Therefore, NDVI can present a sensitive response to low LAI and soybean biomass within a specific phenological stage of the crop, providing important information in the detection of the potential yield in soybean crops (Kross, 2015). In fact, NDVI values are related to increases in shoot biomass, LAI, and soil cover fraction (Andrade et al, 2022) and can be used to monitor phenological stages and biomass production of soybean (Sarmiento et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Normalized Difference Vegetation Index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies

Farias

Bremm

Bredemeier

et al. 2023

Front. Sustain. Food Syst.

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The system fertilization approach emerged to improve nutrient use efficiency in croplands. This new fertilization concept aims at taking advantage of nutrient cycling within an agroecosystem to obtain maximum production from each nutrient unit. To monitor this effect, methodologies such as the Normalized Difference Vegetation Index (NDVI) are promising to evaluate plant biomass and nutrient content. We evaluated the use of NDVI as a predictor of shoot biomass, P and K uptake, and yield in soybean. Treatments consisted of two production systems [integrated crop-livestock system (ICLS) and cropping system (CS)] and two periods of phosphorus (P) and potassium (K) fertilization (crop fertilization—P and K applied at soybean sowing—and system fertilization—P and K applied in the pasture establishment). NDVI was evaluated weekly from the growth stage V2 up to growth stage R8, using the Greenseeker® canopy sensor. At the growth stages V4, V6, R2, and R4, plants were sampled after NDVI evaluation for chemical analysis. Soybean yield and K uptake were similar between production systems and fertilization strategies (P > 0.05). Soybean shoot biomass and P uptake were, respectively, 25.3% and 29.7% higher in ICLS compared to CS (P < 0.05). For NDVI, an interaction between the production system and days after sowing (P < 0.05) was observed. NDVI increased to 0.95 at 96 days after sowing in CS and to 0.92 at 92 days after sowing in ICLS. A significant relationship between NDVI and shoot biomass, and P and K uptake was observed (P < 0.05). Our results show that the vegetation index NDVI can be used for estimating shoot biomass and P and K uptake in the early growth stages of soybean crops, providing farmers with a new tool for evaluating the spatial variability of soybean growth and nutrition.

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Section: Introductionmentioning

confidence: 99%

Normalized Difference Vegetation Index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies

Farias

Bremm

Bredemeier

et al. 2023

Front. Sustain. Food Syst.

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“…Additionally, knowledge of the relationships between the variables linked to radiation interception and seed yield is relevant for estimating crop productivity before harvest. (Andrade et al, 2022;Zhou et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Leaf area index and light interception relationship with seed yield of indeterminate soybean cultivars under reduced seeding rates

Ferreira

Zucareli

Zeffa

et al. 2023

Preprint

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Owing to the recent increase in the cost of germplasm, transgenic royalties, and seed treatments, studies have been conducted to analyze the capacity of modern cultivars to maintain yield under reduced seeding rates (SR). This study elucidated the effect of reduced SR on the evolution of leaf area index (LAI) and light interception by the canopy of soybean cultivars with contrasting branching plasticity and identified the association of these variables with seed yield. Field experiments were conducted in randomized blocks using BRS 1010IPRO (high plasticity) and NS 5959IPRO (medium plasticity) cultivars, with five SRs: 100, 80, 60, 40, and 20% of the recommended SR. The SR reduction did not reduce the seed yield to the point where the LAI and light interception in the reproductive phase were similar to those obtained with the recommended seeding rate. Higher LAI and light interception confer greater potential for reducing the seeding rate in cultivars with higher branching plasticity. The minimum optimal SR (MOSR) for cumulative LAI, Normalized Difference Vegetation Index (NDVI), and intercepted photosynthetic active radiation (IPAR) in the reproductive phase was closer to the MOSR for seed yield than in the vegetative phase or the total crop cycle, indicating “luxury growth” in the vegetative phase at the recommended SRs. Cumulative LAI, NDVI, and IPAR in the reproductive phase had a greater correlation with seed yield than those in the vegetative phase or the total crop cycle. The cumulative NDVI had a higher correlation with seed yield than cumulative LAI and IPAR.

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A new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications

Hagn,

Schuster,

Mittermayer

et al. 2024

Precision Agric

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This study describes a new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications. The relative biomass potential (rel. BMP) serves as an indicator for multiyear stable and homogeneous yield zones. The rel. BMP is derived from satellite data corresponding to specific growth stages and the normalized difference vegetation index (NDVI) to analyze crop-specific yield patterns. The development of this methodology is based on data from arable fields of two research farms; the validation was conducted on arable fields of commercial farms in southern Germany. Close relationships (up to r > 0.9) were found between the rel. BMP of different crop types and study years, indicating stable yield patterns in arable fields. The relative BMP showed moderate correlations (up to r = 0.64) with the yields determined by the combine harvester, strong correlations with the vegetation index red edge inflection point (REIP) (up to r = 0.88, determined by a tractor-mounted sensor system) and moderate correlations with the yield determined by biomass sampling (up to r = 0.57). The study investigated the relationship between the rel. BMP and key soil parameters. There was a consistently strong correlation between multiyear rel. BMP and soil organic carbon (SOC) and total nitrogen (TN) contents (r = 0.62 to 0.73), demonstrating that the methodology effectively reflects the impact of these key soil properties on crop yield. The approach is well suited for deriving yield zones, with extensive application potential in agriculture.

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Soybean Yield Prediction Using Remote Sensing in Southwestern Piauí State, Brazil

Cited by 4 publications

References 19 publications

Normalized Difference Vegetation Index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies

Normalized Difference Vegetation Index (NDVI) for soybean biomass and nutrient uptake estimation in response to production systems and fertilization strategies

Leaf area index and light interception relationship with seed yield of indeterminate soybean cultivars under reduced seeding rates

A new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications

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