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Title: :  AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING
PaperId: :  25427
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 6 2024
DUI:    16.0415/IJARIIE-25427
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Chethan B KBangalore Institute of Technology
Neetha DasBangalore Institute of Technology
Pooja Mallappa BenakattiBangalore Institute of Technology
Pratibha KumariBangalore Institute of Technology
Varuni D G Bangalore Institute of Technology

Abstract

Computer Science and Engineering
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).
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.

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IJARIIE 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 Volume 10 Issue 6 2024 Page 1286-1295
MLA 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 10.6(2024) : 1286-1295.
APA Chethan B K, Neetha Das, Pooja Mallappa Benakatti, Pratibha Kumari, & Varuni D G . (2024). AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING. International Journal Of Advance Research And Innovative Ideas In Education, 10(6), 1286-1295.
Chicago 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 10, no. 6 (2024) : 1286-1295.
Oxford 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, 2024, p. 1286-1295. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AGRICULTURE_MONITORING_AND_CROP_YIELD_PREDICTION_USING_REMOTE_SENSING_ijariie25427.pdf (Accessed : 11 April 2025).
Harvard Chethan B K, Neetha Das, Pooja Mallappa Benakatti, Pratibha Kumari, and Varuni D G . (2024) 'AGRICULTURE MONITORING AND CROP YIELD PREDICTION USING REMOTE SENSING', International Journal Of Advance Research And Innovative Ideas In Education, 10(6), pp. 1286-1295IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AGRICULTURE_MONITORING_AND_CROP_YIELD_PREDICTION_USING_REMOTE_SENSING_ijariie25427.pdf (Accessed : 11 April 2025)
IEEE 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, Nov-Dec 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/AGRICULTURE_MONITORING_AND_CROP_YIELD_PREDICTION_USING_REMOTE_SENSING_ijariie25427.pdf [Accessed : 11 April 2025].
Turabian 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 [Online]. volume 10 number 6 (11 April 2025).
Vancouver 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 [Internet]. 2024 [Cited : 11 April 2025]; 10(6) : 1286-1295. Available from: https://ijariie.com/AdminUploadPdf/AGRICULTURE_MONITORING_AND_CROP_YIELD_PREDICTION_USING_REMOTE_SENSING_ijariie25427.pdf
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