Works matching IS 16112490 AND DT 2024 AND VI 22 AND IP 3
Results: 10
Enhancing XGBoost's accuracy in soil organic matter prediction through feature fusion.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 475, doi. 10.1007/s10333-024-00980-y
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The gap between farmers and beneficiaries in terms of awareness and expectations regarding the paddy field dam project.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 467, doi. 10.1007/s10333-024-00978-6
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Designing a rain gauge network: utilizing satellite-derived precipitation data with geostatistical multivariate techniques.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 449, doi. 10.1007/s10333-024-00977-7
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- Article
Computation of minimum adjustment factors for sustainable groundwater management using data assimilation and Vensim dynamic model.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 431, doi. 10.1007/s10333-024-00976-8
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A bibliometric analysis of scientific literature on alternate wetting and drying (AWD).
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 415, doi. 10.1007/s10333-024-00975-9
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- Article
Assessing paddy methane emissions through the identification of rice and winter crop areas using Sentinel-2 imagery in Korea.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 401, doi. 10.1007/s10333-024-00974-w
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- Article
Kinetics study and bio-phase characteristics of drainage in paddy fields purified by a compound ecological ditch.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 387, doi. 10.1007/s10333-024-00973-x
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- Article
Rice fields classification through spectral-temporal data fusion during the rainy and dry seasons using Sentinel-2 optical images in Subang Regency, West Java, Indonesia.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 375, doi. 10.1007/s10333-024-00972-y
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- Article
Composting treatment and fertilizer properties of golden mussel (Limnoperna fortunei) mixed with dairy cow manure.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 361, doi. 10.1007/s10333-024-00971-z
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- Article
Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India.
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- Paddy & Water Environment, 2024, v. 22, n. 3, p. 341, doi. 10.1007/s10333-024-00970-0
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- Article