Residual Effect and N Fertilizer Rate Detection by High-Resolution VNIR-SWIR Hyperspectral Imagery and Solar-Induced Chlorophyll Fluorescence in Wheat

Raya-Sereno, María D.; Alonso‐Ayuso, María; Pancorbo, J.L.; Gabriel, José Luis; Camino, C.; Zarco‐Tejada, Pablo J.; Quemada, Miguel

doi:10.1109/tgrs.2021.3099624

Cited by 22 publications

(16 citation statements)

References 73 publications

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“…Similar experiments based in barley-legume intercrops followed by wheat rotations showed an increase in nitrate content in the upper 60 cm of the soil profile after the intercrop harvest, even when compared to conventionally fertilized plots [52]. The differences between DMPSA and ASN alone fertilized treatments were small and not significant, which can mean that the effect of the DMPSA applied during the maize fertilization disappeared and was almost irrelevant in the subsequent wheat, in the line of the observed by others [55,56], but contrary to the observed for other inhibitors by other authors [47].…”

Section: Discussionsupporting

confidence: 82%

Nitrate Leaching in Maize (Zea mays L.) and Wheat (Triticum aestivum L.) Irrigated Cropping Systems under Nitrification Inhibitor and/or Intercropping Effects

et al. 2022

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The use of nitrogen fertilizers in agriculture is currently under high pressure to reduce its environmental impact and improve its currently low efficiency. Nitrification inhibitors and/or intercrops emerged in recent decades as useful tools to combat these problems. The objective of the experiment is to study the effect of these techniques on the yield, the nitrogen use efficiency (NUE) and N leaching in a maize–wheat rotation. Six treatments were studied, combining the use of ammonium nitrate sulfate (ASN) alone or with a nitrification inhibitor (DMPSA or 3,4-dimethylpyrazole succinic acid) and the use or absence of vetch (Vicia sativa L.) as an intercrop. The results showed that fertilized treatments did not show significant differences in crop development, but the use of DMPSA delayed the nitrate (NO3−) availability and reduced N leaching losses (average N leaching reductions around 25% after maize harvest). On the other hand, the use of vetch as an intercrop helped to reduce the negative effects of N deficiency and, at the same time, increased the concentration of N in the soil during the following crop harvest (4.5 kg N ha−1 on average after wheat harvest) and reduced losses due to leaching (average N leaching reductions around 14% after the maize–wheat season). The combination of both techniques (DMPSA and vetch intercrop) at the same time presented a synergic effect and greatly improved the environmental impact of the irrigated maize–wheat system.

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Section: Discussionsupporting

confidence: 82%

Nitrate Leaching in Maize (Zea mays L.) and Wheat (Triticum aestivum L.) Irrigated Cropping Systems under Nitrification Inhibitor and/or Intercropping Effects

et al. 2022

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“…All plots used in this trial were obtained from different experiments fully explained in the works of Pancorbo et al (2021a) and Raya-Sereno et al (2022). Each experiment, referred to in this study as "sector," was designed with a varying dose of fertilization and irrigation.…”

Section: Study Area and Experimental Designmentioning

confidence: 99%

“…Sector S1 and half of the plots of sector S4 were irrigated during spring using a center-pivot system; whereas sector S2 and S3 did not receive irrigation. More details on the irrigation in sector S1 and S4 can be found in Pancorbo et al (2021a) and Raya-Sereno et al (2022). Yes (16 plots) No (13 plots)…”

Section: Study Area and Experimental Designmentioning

confidence: 99%

Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery

Almeida-Ñauñay

Tarquis

López-Herrera

et al. 2023

Computers and Electronics in Agriculture

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“…H YPERSPECTRAL images (HSIs) contain very rich spatial-spectral information, thus providing a substantial opportunity to explore and understand earth surface characteristics. Among existing HSI processing technologies, classification is by far the most well-established field and has been widely applied to various scenarios in Earth science, such as monitoring coastal wetlands [1], precision agriculture [2], water quality analysis [3], and other fields [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fully Connected Tensorized Compression Network for Hyperspectral Image Classification

Lin

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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Deep learning models, such as convolutional neural networks (CNNs), have made significant progress in hyperspectral image (HSI) classification. However, these models require a large number of parameters, which occupy a lot of storage space and suffer from overfitting, thus resulting in performance loss. To solve the above problems, in this article, we propose a new compression network [namely, a Hybrid Fully Connected Tensorized Compression Network (HybridFCTCN)] by considering the high dimensionality of HSI data. First, using the low-rank fully connected tensor network decomposition (FCTND), three novel units, i.e., FCTN-FC, FCTNConv2D, and FCTNConv3D, are designed to compress the weight tensor of standard fully connected (FC) layer and kernel tensor of convolutional layer, reducing their parameters. In the novel units, the intrinsic correlation of the decomposed factors is adequately exploited by the FC structures, which enhances their feature extraction and classification abilities. Then, benefiting from the hybrid network backbone composed of the FCTNConv3D and FCTNConv2D units, HybridFCTCN can extract more discriminative features with fewer parameters, while it has great generalization capability and robustness, enabling better HSI classification. Finally, the rank of above-designed units is defined, and its determination is discussed to facilitate the application of the proposed model. Extensive experiments on three widely used HSI datasets reveal that the proposed model achieves state-of-the-art classification performance for different training sample sizes with a very small number of parameters.

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Residual Effect and N Fertilizer Rate Detection by High-Resolution VNIR-SWIR Hyperspectral Imagery and Solar-Induced Chlorophyll Fluorescence in Wheat

Cited by 22 publications

References 73 publications

Nitrate Leaching in Maize (Zea mays L.) and Wheat (Triticum aestivum L.) Irrigated Cropping Systems under Nitrification Inhibitor and/or Intercropping Effects

Nitrate Leaching in Maize (Zea mays L.) and Wheat (Triticum aestivum L.) Irrigated Cropping Systems under Nitrification Inhibitor and/or Intercropping Effects

Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery

Hybrid Fully Connected Tensorized Compression Network for Hyperspectral Image Classification

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