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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 : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
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Published Paper Details
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| Paper Title: | Agriculture Marketing and Information System |
| Authors Name: | Sairam Misal , Yamini Warke , Nikita Wagh , Tushar Karwar , Aishwarya Sawant |
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| Author Reg. ID: |
IJRTI_204083
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| Published Paper Id: | IJRTI2505289 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Agriculture is vital to India's global economy and significantly contributes to GDP. As the human population grows, the nation's agricultural output is crucial in ensuring food security. Climate factors such as temperature, precipitation, soil quality, and fertilizers primarily influence a crop's yield. The variability of these elements adversely impacts productivity, posing a significant challenge for the agriculture industry to accurately estimate crop yields under fluctuating climatic circumstances. Recently, researchers have used machine learning algorithms to forecast crop yields before actual planting. This research study has introduced a machine learning technique, namely linear regression and multilayer perception, to forecast crop production based on characteristics such as state, district, area, seasons, NPK, pH values, rainfall, temperature, and area. To improve yield, this research study recommends a fertilizer tailored to soil conditions, including NPK levels, soil type, pH, humidity, and moisture. Fuzzy algorithms primarily guide the recommendation of fertilizers. |
| Keywords: | Crop Yield Prediction, Machine Learning, Crop Recommender System, Artificial Neural Networks (ANN), Logistic Regression , Agro-Information System , Smart Farming, Web based Application, HeidiSQL Database, Precision Agriculture , Crop Price Monitoring , Farmer Support System , Market Price Updation , Agriculture Chatbot. |
| Cite Article: | "Agriculture Marketing and Information System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c760-c767, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505289.pdf |
| Downloads: | 000403 |
| 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: IJRTI2505289
Registration ID:204083
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c760-c767 Country: Pune, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505289 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505289 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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