阶层
发表于 2025-3-28 17:36:31
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BRAVE
发表于 2025-3-28 20:38:55
Nanoparticle-Mediated Plant Gene Transfer for Precision Farming and Sustainable Agriculture,ts through genetic engineering. Application of pesticides and fertilizers indiscriminately poses environmental pollution and threat to biodiversity. In this scenario, nanotechnology has prospective future in agrobiotechnological applications to eradicate these problems by virtue of nanomaterials. Na
施加
发表于 2025-3-29 01:48:01
Book 2019f nanotechnology to reduce agrochemical usage via smart delivery system, increase nutrient use efficiency, improved water and nutrient management, nano-biosensors for management of plant diseases etc. .The book provides thorough knowledge for dealing with current challenges of agricultural sector us
explicit
发表于 2025-3-29 04:50:49
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微不足道
发表于 2025-3-29 10:36:52
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Germinate
发表于 2025-3-29 11:36:16
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财主
发表于 2025-3-29 17:16:56
Sudip Mukherjee,Susheel Kumar Nethithat this new evenness-based classifier gets good results on a number of representative benchmarks. Its accuracy is both compared to the ones of well-known classifiers and to previous analogy-based classifiers. A discussion investigates on what type of particular benchmarks the evenness-based classi
不公开
发表于 2025-3-29 23:30:30
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Offbeat
发表于 2025-3-30 02:26:51
Lidiane Maria de Andrade,Débora de Oliveira,Cristiano José de Andradems of three strands: logic versus learning, machine learning for logic, and logic for machine learning, but naturally, there is considerable overlap. We place an emphasis on the following “sore” point: there is a common misconception that logic is for discrete properties, whereas probability theory
Countermand
发表于 2025-3-30 07:50:25
Ashish Khandelwal,Ritika Joshi,Poulomi Mukherjee,S. D. Singh,Manoj Shrivastavams of three strands: logic versus learning, machine learning for logic, and logic for machine learning, but naturally, there is considerable overlap. We place an emphasis on the following “sore” point: there is a common misconception that logic is for discrete properties, whereas probability theory