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Wheat Lodging Segmentation Based on Lstm_PSPNet Deep Learning Network.
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- Drones (2504-446X), 2023, v. 7, n. 2, p. 143, doi. 10.3390/drones7020143
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- Article
Application of a convolutional neural network to land use classification based on GF-2 remote sensing imagery.
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- Arabian Journal of Geosciences, 2021, v. 14, n. 21, p. 1, doi. 10.1007/s12517-021-08555-5
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- Article
Response of Canopy Photosynthesis, Grain Quality, and Harvest Index of Wheat to Different Nitrogen Application Methods.
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- Plants (2223-7747), 2022, v. 11, n. 18, p. N.PAG, doi. 10.3390/plants11182328
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- Article
Optimized N application improves N absorption, population dynamics, and ear fruiting traits of wheat.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1199168
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- Article
Analysis on Absorption, Utilization and Transfer Efficiency of Nitrogen in High-yield Wheat Cultivars at Different Sowing Dates.
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- Agricultural Science & Technology, 2016, v. 17, n. 7, p. 1600
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- Article
Monitoring Wheat Powdery Mildew (Blumeria graminis f. sp. tritici) Using Multisource and Multitemporal Satellite Images and Support Vector Machine Classifier.
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- Smart Agriculture, 2022, v. 4, n. 1, p. 17, doi. 10.12133/j.smartag.SA202202009
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- Article
Wheat lodging extraction using Improved_Unet network.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.1009835
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- Article
Reducing N Application by Increasing Plant Density Based on Evaluation of Root, Photosynthesis, N Accumulation and Yield of Wheat.
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- Agronomy, 2021, v. 11, n. 6, p. 1080, doi. 10.3390/agronomy11061080
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- Article
Evaluation of spectral indices and continuous wavelet analysis to quantify aphid infestation in wheat.
- Published in:
- Precision Agriculture, 2013, v. 14, n. 2, p. 151, doi. 10.1007/s11119-012-9283-4
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- Article