AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING

Chethan B K; Neetha Das; Pooja Mallappa Benakatti; Pratibha Kumari; Varuni D G

AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING

December 2024

Vol-10, Issue-6

Paper ID: 25427

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Crop Yield Prediction Agricultural Monitoring Precision Agriculture Remote Sensing hyper-spectral Image Machine Learning in Agriculture Weather Data Analysis Soil Analysis Big Data in Agriculture Geospatial Analysis Vegetation Indices (e.g. NDVI EVI).

Abstract

The rise in global food demand poses significant challenges for agricultural sectors as crop yields become more difficult to predict and manage. Traditional monitoring methods are typically labor-intensive, expensive, and prone to inaccuracies, highlighting the need for more efficient and precise solutions. This paper presents a remote sensing-based approach to agriculture monitoring and crop yield prediction that leverages the advanced capabilities of satellite imagery and data analytics to create accurate and easily verifiable predictions. By utilizing remote sensing technology and sophisticated data processing algorithms, the proposed system enables farmers and agricultural stakeholders to access real-time data on crop health and yield predictions without the need for intermediaries. This method not only protects against data inaccuracies but also minimizes the time and cost of monitoring, resulting in a transparent and scalable framework for agricultural management. This remote sensing framework can be fully deployed across all agricultural sectors, providing a secure and future-proof solution for monitoring and predicting crop yields, thereby strengthening trust in agricultural data. The system uses satellite imagery and weather data to predict crop yields accurately. By employing algorithms like Random Forest Regressor and Gradient Boost, it captures Complicated interplay of environmental elements and crop growth. This approach outperforms traditional models, enhancing decision-making in agriculture and promoting sustainable farming practices.

License

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Author Information

#	Name	Institute / Affiliation
1	Chethan B K	Bangalore Institute of Technology
2	Neetha Das	Bangalore Institute of Technology
3	Pooja Mallappa Benakatti	Bangalore Institute of Technology
4	Pratibha Kumari	Bangalore Institute of Technology
5	Varuni D G	Bangalore Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

K, Chethan B, Das, Neetha, Benakatti, Pooja Mallappa, Kumari, Pratibha, & G, Varuni D (2024). AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING. International Journal of Advance Research and Innovative Ideas In Education, 10(6), 1286-1295.

MLA Style

K, Chethan B, et al. "AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, 2024, pp. 1286-1295.

IEEE Style

Chethan B K, Neetha Das, Pooja Mallappa Benakatti, Pratibha Kumari, and Varuni D G, "AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, pp. 1286-1295, 2024.

Vancouver Style

K Chethan B, Das Neetha, Benakatti Pooja Mallappa, Kumari Pratibha, G Varuni D. AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(6):1286-1295.

Harvard Style

K, Chethan B, Das, Neetha, Benakatti, Pooja Mallappa, Kumari, Pratibha, & G, Varuni D (2024) 'AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING', International Journal of Advance Research and Innovative Ideas In Education, 10(6), pp. 1286-1295.

Chicago Style

K, Chethan B, et al. "AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1286-1295.

Turabian Style

K, Chethan B, et al. "AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1286-1295.