Using crop reflectance to determine sidedress N rate in potato saves N and maintains yield

Evert, F.K. van; Booij, R.; Jukema, J.N.; Berge, H.F.M. ten; Uenk, D.; Meurs, E.J.J.; Geel, W.C.A. van; Wijnholds, K.H.; Slabbekoorn, J.J.

doi:10.1016/j.eja.2012.05.005

Cited by 47 publications

(22 citation statements)

References 32 publications

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“…Moreover, the period with largest contrasts between treatments was crop specific: at the end of August for peanut and cotton and at early October for sorghum and maize. Standard precision agriculture methods based on comparisons of the response of a vegetation index within one field [30] are therefore not very useful. Accounting for other sources of variability in these heterogeneous landscapes is needed before such an approach can be applied.…”

Section: Discussionmentioning

confidence: 99%

Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali

et al. 2016

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Soil fertility in smallholder farming areas is known to vary strongly on multiple scales. This study measures the sensitivity of the recorded satellite signal to on-farm soil fertility treatments applied to five crop types, and quantifies this fertilization effect with respect to within-field variation, between-field variation and field position in the catena. Plant growth was assessed in 5-6 plots per field in 48 fields located in the Sudano-Sahelian agro-ecological zone of southeastern Mali. A unique series of Very High Resolution (VHR) satellite and Unmanned Aerial Vehicle (UAV) images were used to calculate the Normalized Difference Vegetation Index (NDVI). In this experiment, for half of the fields at least 50% of the NDVI variance within a field was due to fertilization. Moreover, the sensitivity of NDVI to fertilizer application was crop-dependent and varied through the season, with optima at the end of August for peanut and cotton and early October for sorghum and maize. The influence of fertilizer on NDVI was comparatively small at the landscape scale (up to 35% of total variation), relative to the influence of other components of variation such as field management and catena position. The NDVI response could only partially be benchmarked against a fertilization reference within the field. We conclude that comparisons of the spatial and temporal responses of NDVI, with respect to fertilization and crop management, requires a stratification of soil catena-related crop growth conditions at the landscape scale.

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Section: Discussionmentioning

confidence: 99%

Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali

et al. 2016

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“…Chlorophyll plays a crucial role in photosynthesis and in plant functioning. Remote sensing can provide farmers with location-specific information of chlorophyll content as a proxy of crop response to nitrogen application during different growing phases of the season (van Evert et al 2012;Elarab et al 2015). For precision agriculture, the spatial resolution should be at least 20 m and preferably in the order of 10 m in order to make site-specific management possible (Mulla 2013).…”

Section: Introductionmentioning

confidence: 99%

Estimating potato leaf chlorophyll content using ratio vegetation indices

Kooistra

Clevers

2016

Remote Sensing Letters

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Chlorophyll content at leaf level is an important variable because of its crucial role in photosynthesis and in understanding plant functioning. In this study, we tested the hypothesis that the ratio of a vegetation index (VI) for estimating canopy chlorophyll content (CCC) and one for estimating leaf area index (LAI) can be used to derive chlorophyll content at the leaf level. This hypothesis for estimating chlorophyll content at the leaf level was tested using simulations with the PROSAIL radiative transfer model and field spectroradiometry measurements in five consecutive years (2010)(2011)(2012)(2013)(2014) for potato crops on experimental fields. During the growing season, in-situ field measurements of LAI and leaf chlorophyll content (LCC) were performed. Results showed that good estimates of LCC were feasible using ratio vegetation indices (VIs). This was tested at satellite level using RapidEye images. This letter presents a proof of concept for estimating LCC using Sentinel-2 data. Results confirm the importance of the red-edge bands for agricultural applications, but also showed that indices using the red-edge bands may be replaced by indices using green bands. It should now be tested with real Sentinel-2 data whether its spectral bands at 10 m spatial resolution are suitable for estimating LCC, avoiding the need for red-edge bands that only are available at 20 m. ARTICLE HISTORY

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“…In contrast, optical measurement of crop N status is quick, cheap, and can be done on every square meter of a field thus enabling variable rate application (VRA) of N [55]. In the Netherlands, development of a crop reflectance-based N sidedress system for potatoes started nearly 20 years ago [56] and was fully documented recently [57]. Trials are listed in Table 3.…”

Section: Late Blightmentioning

confidence: 99%

Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?

et al. 2017

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For farmers, the application of Precision Agriculture (PA) technology is expected to lead to an increase in profitability. For society, PA is expected to lead to increased sustainability. The objective of this paper is to determine for a number of common PA practices how much they increase profitability and sustainability. For potato production in The Netherlands, we considered variable rate application (VRA) of soil herbicide, fungicide for late blight control, sidedress N, and haulm killing herbicide. For olive production in Greece, we considered spatially variable application of P and K fertilizer and lime. For each of the above scenarios, we quantified the value of outputs, the cost of inputs, and the environmental costs. This allowed us to calculate profit as well as social profit, where the latter is defined as revenues minus conventional costs minus the external costs of production. Social profit can be considered an overall measure of sustainability. Our calculations show that PA in potatoes increases profit by 21% (420 € ha −1 ) and social profit by 26%. In olives, VRA application of P, K, and lime leads to a strong reduction in nutrient use and although this leads to an increase in sustainability, it has only a small effect on profit and on social profit. In conclusion, PA increases sustainability in olives and both profitability and sustainability in potatoes.

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Using crop reflectance to determine sidedress N rate in potato saves N and maintains yield

Cited by 47 publications

References 32 publications

Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali

Quantifying Fertilizer Application Response Variability with VHR Satellite NDVI Time Series in a Rainfed Smallholder Cropping System of Mali

Estimating potato leaf chlorophyll content using ratio vegetation indices

Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?

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