VISIBE AND INFRARED SPECTRAL CHARACTERISATION OF CHINESE CABBAGE (<i>BRASSICA RAPA L. SUBSPECIES CHINENSIS</i>), GROWN UNDER DIFFERENT NITROGEN, POTASSIUM AND PHOSPHORUS CONCENTRATIONS

Mokoatsi, B. B.; Tesfamichael, Solomon G.; Araya, Hintsa T.; Mofokeng, Maletsema Alina

doi:10.5194/isprs-archives-xlii-3-w2-125-2017

Cited by 2 publications

(2 citation statements)

References 18 publications

(17 reference statements)

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“…The optimum rate of N application for high biomass accumulation in Amaranthus, Vigna unguiculata and Corchorus is 50 kg/ha [42] Kraal manure and inorganic fertilisers combined result in high ALV biomass [43] Sheep Kraal manure is ideal for Amaranthus in when inorganic fertilisers are unavailable [44] Remote sensing can be used to predict fertiliser needs for ALVs [45] Amaranthus may require 9.01 g/plant of N for optimum biomass accumulation [46] Functional properties…”

Section: Production Component Conclusion Authormentioning

confidence: 99%

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African Leafy Vegetables for Improved Human Nutrition and Food System Resilience in Southern Africa: A Scoping Review

et al. 2021

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The economic potential of African leafy vegetables (ALVs) remains obscured by a poorly developed value chain. This scoping review assembled and examined scattered knowledge generated on ALVs across southern Africa, focusing on production, processing, marketing, and consumption. Two electronic databases (Scopus and Web of Science) were screened, and a total of 71 relevant studies were included and evaluated. The review provides a state of the art on knowledge related to utilisation of ALVs across the entire value chain. The findings show that functional properties are of prime importance in the production and consumption of ALVs. However, the lack of improved germplasm and a non-existent seed supply system are significant production bottlenecks. Pests and diseases affecting the productivity of ALVs remain mostly unexplored. Sun-drying and boiling were the most reported post-harvest processing methods, suggesting that traditional processing methods are still prominent. Many studies also confirmed the predominance of informal markets in the trading of ALVs as they fail to penetrate formal markets because of poor product positioning and exclusion from produce demand and supply forecasts. The inception of cultivar development, mechanised processing methods, and market linkages will enhance the profitability of ALVs in the region. This review enhances the gaining of insight into the state of different value chain components will assist in upscaling production, value addition of products, and enhance marketing efficiency. There is a great opportunity for basic and applied research into ALVs.

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Section: Production Component Conclusion Authormentioning

confidence: 99%

“…About 9.0 g/plant of N is required for optimum biomass accumulation in Amaranthus. One study suggests using remote sensing tools to predict the fertiliser needs of all the other ALVs [45].…”

Section: Production Component Conclusion Authormentioning

confidence: 99%

African Leafy Vegetables for Improved Human Nutrition and Food System Resilience in Southern Africa: A Scoping Review

et al. 2021

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Prediction of N, P, and K Contents in Sugarcane Leaves by VIS-NIR Spectroscopy and Modeling of NPK Interaction Effects

Li¹,

Wang²,

Yang³

et al. 2019

Transactions of the ASABE

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Abstract. Methods were studied to predict the N, P, and K contents in sugarcane leaves quickly and accurately at the seedling, tillering, and elongation stages from leaf spectral reflectance. A total of 117 valid leaf samples were used to obtain leaf spectral reflectance with an indoor VIS-NIR spectrophotometer. Using the spectral data processed by CARS-PCA as an independent variable, a six-fold cross-validated PLS model for N, P, and K contents was established. The R2 values of the CARS-PCA-PLS models for N, P, and K prediction were 0.859, 0.677, and 0.932, respectively. Correlation analysis of the predicted N, P, and K contents was performed to explore the interaction effects between N, P, and K. To simulate the interaction effects among the three nutrients, 19 factors were assumed, including possible linear, quadratic, and cubic relationships between N, P, and K, and multi-factor cubic polynomial PLS and MLR regression models were established from those factors. In the modified MLR models, the determinants of N, P, and K were 0.891, 0.802, and 0.944, respectively, which improved the performance of the models by 3.7%, 18.5%, and 1.3%, respectively, compared with the CARS-PCA-PLS models, which were based on the spectral reflectance data. The results showed that application of VIS-NIR spectra combined with interaction effects between the nutrients could effectively predict the N, P, and K contents in the early and middle growth stages of sugarcane.HighlightsCompetitive adaptive reweighted sampling (CARS) was adopted to select wavebands for nutrient prediction.N, P, and K interaction effects were simulated with 19 factors, including linear, quadratic, and cubic relationships.The interaction factors were used in multiple linear regression models, and improved prediction was achieved. Keywords: CARS-PCA, Interaction effect, NPK, Sugarcane, VIS-NIR spectroscopy.

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VISIBE AND INFRARED SPECTRAL CHARACTERISATION OF CHINESE CABBAGE (BRASSICA RAPA L. SUBSPECIES CHINENSIS), GROWN UNDER DIFFERENT NITROGEN, POTASSIUM AND PHOSPHORUS CONCENTRATIONS

Cited by 2 publications

References 18 publications

African Leafy Vegetables for Improved Human Nutrition and Food System Resilience in Southern Africa: A Scoping Review

African Leafy Vegetables for Improved Human Nutrition and Food System Resilience in Southern Africa: A Scoping Review

Prediction of N, P, and K Contents in Sugarcane Leaves by VIS-NIR Spectroscopy and Modeling of NPK Interaction Effects

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