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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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Issue Published : 113
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| Paper Title: | Machine Learning Applications in Agriculture: A Review for Opportunities, Challenges, and Outcomes |
| Authors Name: | Neelam Bohra , Dr. Anil Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187371
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| Published Paper Id: | IJRTI2306148 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Agriculture plays a very important role in our life, huge manpower of the country is engaged in the agriculture sector but they lack skills, they are not aware of the latest technologies and as a result, they are not able to improve the quality of crops. Finding solutions to various problems such as disease, soil nutrition, and water conservation in plants is very challenging. This work aims to conduct a systematic review of machine learning (ML) applications in agriculture and highlight the challenges farmers face to fully adopt machine learning in agriculture. Several research papers based on the applications of ML algorithms in the development of agriculture have been studied and a comparison has been made of various machine learning algorithms used in the agriculture sector. The main goal of this work is to provide detailed information about various machine-learning techniques that can be used in agriculture recently to improve agricultural production. Automation of agricultural activities is encouraged with the help of ML and IoT tools, for example, an automated disease detection and warning system is developed which sends alerts through buzzers when a disease is detected. The use of wireless sensor networks, IoT, robotics, drones, and AI is on the rise. A huge amount of data is collected from the fields with the help of various sensors and ML models are used on these data to extract useful information and improve the yield. |
| Keywords: | – Machine Learning, deep learning, digital transformation, Agriculture, IoT |
| Cite Article: | " Machine Learning Applications in Agriculture: A Review for Opportunities, Challenges, and Outcomes", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.987 - 1002, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306148.pdf |
| Downloads: | 000205167 |
| 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: IJRTI2306148
Registration ID:187371
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 987 - 1002 Country: JODHPUR, RAJASTHAN, INDIA Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306148 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306148 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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