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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | PLANT NUTRIENT DEFICIENCY USING MOBILENET |
| Authors Name: | Mr. N.P Patnaik M , A.Kamesh , A.S.Surya Siddhu , B.Vamsi , B.Praveen |
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IJRTI_185947
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| Published Paper Id: | IJRTI2304105 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Agricultural systems rely on adequate water, sunlight, and nutrient uptake for plants. Different plants have different amounts of nutrients, known as macronutrients or micronutrients. Plant growth and development can be affected by macronutrient deficiencies. Nutrient deficiencies are a common condition that can affect plants if not treated promptly. Monitoring for defects is manual and requires more effort, especially in large areas. The rapid development of technology has made it possible to build systems to detect nutrient deficiencies in plants. Missing plants are detected by MobileNet, and the situation is diagnosed from plant images. To determine nutrient deficiencies, plant leaf analysis was performed for leaf condition. You can estimate which nutrients your plant's roots are getting enough of, and symptoms of deficiency can be identified by leaf colour and size. MobileNet is specifically trained for nutrient deficiencies and is used to determine if leaves exhibit symptoms related to nutrient deficiencies |
| Keywords: | Nutrient deficiency leaf, image analysis, Deep learning, CNN, ANN, MobileNet, Densent121, VGG19, InceptionResNet |
| Cite Article: | "PLANT NUTRIENT DEFICIENCY USING MOBILENET", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.634 - 640, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304105.pdf |
| Downloads: | 000205189 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2304105
Registration ID:185947
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 634 - 640 Country: Vizianagaram, ANDHRA PRADESH, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304105 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304105 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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