Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/515501
Title: | IOT Based Deep Learning Approach to Analyse and Detect Pest Fall Army Worm Using Odor Substances in Maize Fields |
Researcher: | Sheema D |
Guide(s): | Ramesh K |
Keywords: | Computer Science Computer Science Cybernetics Engineering and Technology |
University: | Hindustan Institute of Technology and Science |
Completed Date: | 2023 |
Abstract: | he agricultural industry has undergone dramatic changes over the past 60 newlineyears. New advances in machinery have increased the efficiency of farming newlineequipment, leading to higher yields. The use of data and connectivity is driving newlinea revolution in agriculture today. Further yield increases may be possible with newlineemerging technology such as artificial intelligence, analytics, and connected newlinesensors. In India, food production is renowned. It is the primary source of newlinesustenance for a large proportion of the population. Currently, farmers rely newlineheavily on maize for their livelihood. Indian maize exports have increased newlinesubstantially during the past decade. The crop can be grown in a variety of newlineclimates and requires less water than other crops in India. A pest infestation newlinecauses farmers to lose income, which is unfortunate. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/515501 |
Appears in Departments: | Department of Computer Application |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 3.34 MB | Adobe PDF | View/Open |
02_prelim page.pdf | 277.21 kB | Adobe PDF | View/Open | |
03_content.pdf | 84.84 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 74.68 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 563.65 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 281.26 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 821.44 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 1.51 MB | Adobe PDF | View/Open | |
09_chapter5.pdf | 1.53 MB | Adobe PDF | View/Open | |
10_chapter6.pdf | 79.28 kB | Adobe PDF | View/Open | |
11_chapter7.pdf | 113.99 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 74.68 kB | Adobe PDF | View/Open |
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