Harvest Forecasting Using Machine Learning

Harvest Forecasting Using Machine Learning

Registration ID: IJNRD_219363

Published ID: IJNRD2404678

DOI: Click Here to Get

Mrs S Saranya Devi , N Ganesh , P Chandrika , N Purushotham , M Balaji

Decision timber, random forests, crop choice, yield forecasting.

This paper proposes a machine learning-based harvest forecasting system to assist farmers in selecting the most valuable crops and predicting the yield of a chosen crop. The system utilizes GPS to identify the user's location and soil type as inputs. Five machine learning algorithms, including Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest (RF), Multivariate Linear Regression (MLR), and k-Nearest Neighbors (KNN), are used to predict crop yields. The Random Forest algorithm achieved the highest accuracy of 95%. The system also suggests the optimal time to apply fertilizers to crops.

Published Paper   E-Certificate

"Harvest Forecasting Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g641-g646, April-2024, Available :https://ijnrd.org/papers/IJNRD2404678.pdf

Volume 9 Issue 4, April-2024

Pages : g641-g646

Paper Reg. ID: IJNRD_219363

Published Paper Id: IJNRD2404678

Downloads: 000121116

Research Area: Computer Science & Technology 

Country: Chittoor, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404678.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404678

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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