A. N. Prasad
Rajendra Agricultural University
6 Papers
28 Citations
A. N. Prasad is an academic researcher from Rajendra Agricultural University. The author has contributed to research in topics: Nitrogen fixation & Population. The author has an hindex of 4, co-authored 4 publications.
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Papers
Efficacy of New Inexpensive Cyanobacterial Biofertilizer Including its Shelf-life
M. N. Jha,A. N. Prasad +1 more
TL;DR: Four cyanobacterial inoculants all significantly increased grain and straw yield of rice either alone or in combination with chemical fertilizer, being highest for tobacco-based cyanob bacterial biofertilizer integrated with 50% chemical N.
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Effects of fertilization rate and crop rotation on diazotrophic cyanobacteria in paddy field
TL;DR: The rice–mustard–moong (RMM) crop rotation was observed to be more suitable for cyanobacterial nitrogen fixation than rice–wheat–maize rotation and the cropped plots had higher nitrogenase activity than fallow plots.
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Influence of source of organics and soil organic matter content on cyanobacterial nitrogen fixation and distributional pattern under different water regimes
TL;DR: In this article, the authors found that green manure source was the most effective in enhancing cyanobacterial nitrogenase activity, followed by compost, farmyard manure, and sewage and slurry.
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Useful Carriers for Cyanobacteria: Their Response to Cyanobacterial Growth, Acetylene-Reductase Activity, Cyanobacterial Grazers and Paddy Yield in Calcareous Soil
M. N. Jha,A. N. Prasad +1 more
TL;DR: Application of these plant biomasses resulted in significant increase in cyanobacterial acetylene-reducing activity (ARA) and rice yield and a significant decrease in snail and nematode population.
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A survey on human activity recognition using CNN and LSTM
Rohith Krishna Murthy,Surya Dhanraj,T. N. Manjunath,Prasad N Achyutha,A. N. Prasad,G. Gangambika +5 more
TL;DR: In this paper , the authors summarized contemporary works based on a big range of deep neural networks structure, mainly convolution neural networks (CNNs) for human hobby reputation for human activity recognition.
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