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Podrobná bibliografie
Hlavní autor:	Sujal N. Bolke, Prathamesh P. Kumbhar, Nilesh S. Kulkarni and Laxman G. Mulik
Médium:	Recurso digital
Jazyk:
Vydáno:	Zenodo 2026
On-line přístup:	https://doi.org/10.5281/zenodo.19256232
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

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DEEP LEARNING-BASED APPROACH FOR ESTIMATING THE AGE OF PAKISTANI-GROWN RICE SEEDS
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INFLUENCE OF NITROGEN CONTENT ON RICE LEAF SHEATHS ON SHEATH BLIGHT DEVELOPMENT
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DEEP LEARNING APPROACH AS A TOOL FOR SUSTAINABILITY HYPOTHESIS GENERATION
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EVALUATION OF RICE (Oryza sativa L.) HYBRIDS AND VARIETIES
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RICE: Reactive Interaction Controller for Cluttered Canopy Environment
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HYBRID ARIMA AND LSTM DEEP LEARNING MODELS EMPOWERING AND ENHANCING FORECAST ACCURACY IN SALES
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HYBRID DEEP LEARNING INTEGRATION ON ADVERSIAL NETWORK FOR AN ACCURATE AGRICULTURAL SEQUENCE DATA PREDICTION
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A DEEP LEARNING BASED EXPERIMENT ON FOREST WILDFIRE DETECTION IN MACHINE VISION COURSE
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COMPARISON BETWEEN CONVENTIONAL AND ORGANIC RICE USING PHOTOACOUSTIC TECHNIQUE
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RICE GROWTH RESPONSE TO DIFFERENT PROPORTIONS OF APPLIED NITROGEN FERTILIZER
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The Roosevelt Island Ice Core Chronology 2017 (RICE17)
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