Found: 21
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Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies.
- Published in:
- PLoS ONE, 2024, v. 19, n. 8, p. 1, doi. 10.1371/journal.pone.0308826
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- Article
Potential of Thermal and RGB Imaging Combined with Artificial Neural Networks for Assessing Salt Tolerance of Wheat Genotypes Grown in Real-Field Conditions.
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- Agronomy, 2024, v. 14, n. 7, p. 1390, doi. 10.3390/agronomy14071390
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- Article
Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipper.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-54980-3
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- Article
Rapid Grapevine Health Diagnosis Based on Digital Imaging and Deep Learning.
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- Plants (2223-7747), 2024, v. 13, n. 1, p. 135, doi. 10.3390/plants13010135
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- Article
Evaluating the Efficacy of Sentinel-2B and Landsat-8 for Estimating and Mapping Wheat Straw Cover in Rice–Wheat Fields.
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- Agronomy, 2023, v. 13, n. 11, p. 2691, doi. 10.3390/agronomy13112691
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- Article
Estimating Chlorophyll Content, Production, and Quality of Sugar Beet under Various Nitrogen Levels Using Machine Learning Models and Novel Spectral Indices.
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- Agronomy, 2023, v. 13, n. 11, p. 2743, doi. 10.3390/agronomy13112743
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- Article
Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia.
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- Water (20734441), 2023, v. 15, n. 19, p. 3495, doi. 10.3390/w15193495
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- Article
Groundwater Quality and Health Risk Assessment Using Indexing Approaches, Multivariate Statistical Analysis, Artificial Neural Networks, and GIS Techniques in El Kharga Oasis, Egypt.
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- Water (20734441), 2023, v. 15, n. 6, p. 1216, doi. 10.3390/w15061216
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- Article
Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria.
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- Water (20734441), 2023, v. 15, n. 2, p. 289, doi. 10.3390/w15020289
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- Article
Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress.
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- Horticulturae, 2023, v. 9, n. 1, p. 79, doi. 10.3390/horticulturae9010079
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- Article
Using RGB Imaging, Optimized Three-Band Spectral Indices, and a Decision Tree Model to Assess Orange Fruit Quality.
- Published in:
- Agriculture; Basel, 2022, v. 12, n. 10, p. N.PAG, doi. 10.3390/agriculture12101558
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- Article
Environmental Assessment of Potentially Toxic Elements Using Pollution Indices and Data-Driven Modeling in Surface Sediment of the Littoral Shelf of the Mediterranean Sea Coast and Gamasa Estuary, Egypt.
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- Journal of Marine Science & Engineering, 2022, v. 10, n. 6, p. 816, doi. 10.3390/jmse10060816
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- Article
Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modelling to Assess the Bottom Sediment Quality of Lake Qaroun, Egypt.
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- Water (20734441), 2022, v. 14, n. 6, p. 890, doi. 10.3390/w14060890
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- Article
Assessing the Efficiency of Remote Sensing and Machine Learning Algorithms to Quantify Wheat Characteristics in the Nile Delta Region of Egypt.
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- Agriculture; Basel, 2022, v. 12, n. 3, p. 332, doi. 10.3390/agriculture12030332
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- Article
Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks.
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- Water (20734441), 2021, v. 13, n. 21, p. 3094, doi. 10.3390/w13213094
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- Article
Estimating the Leaf Water Status and Grain Yield of Wheat under Different Irrigation Regimes Using Optimized Two- and Three-Band Hyperspectral Indices and Multivariate Regression Models.
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- Water (20734441), 2021, v. 13, n. 19, p. 2666, doi. 10.3390/w13192666
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- Article
Using Optimized Two and Three-Band Spectral Indices and Multivariate Models to Assess Some Water Quality Indicators of Qaroun Lake in Egypt.
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- Sustainability (2071-1050), 2021, v. 13, n. 18, p. 10408, doi. 10.3390/su131810408
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- Article
Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes.
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- Remote Sensing, 2021, v. 13, n. 9, p. 1679, doi. 10.3390/rs13091679
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- Article
Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in Rice.
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- Remote Sensing, 2021, v. 13, n. 9, p. 1785, doi. 10.3390/rs13091785
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- Article
Integration of Spectral Reflectance Indices and Adaptive Neuro-Fuzzy Inference System for Assessing the Growth Performance and Yield of Potato under Different Drip Irrigation Regimes.
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- Chemosensors, 2021, v. 9, n. 3, p. 55, doi. 10.3390/chemosensors9030055
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- Article
Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data.
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- Agriculture; Basel, 2021, v. 11, n. 1, p. 51, doi. 10.3390/agriculture11010051
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- Article