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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Crop Yield Prediction at Gram Panchayat Scale using Deep Learning Framework |
| Authors Name: | Lokehwari M , Girish Kumar Jha , Sunil Kumar Dubey , Rajeev Ranjan Kumar , P. Venkatesh |
| Unique Id: | IJSDR2401083 |
| Published In: | Volume 9 Issue 1, January-2024 |
| Abstract: | Crop yield prediction is crucial for assurance of food security, implementation of policies and the evaluation of crop insurance losses from biotic and abiotic stress. This paper aims to explore the strength of spectral vegetation indices, specifically Normalized Difference Vegetation Index (NDVI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data accessible through the google earth engine platform for predicting crop yields using deep learning framework. We proposed a long short-term memory neural network model, which captures the temporal dependencies within historically satellite-derived observations and weather patterns. The proposed model is developed for kharif paddy in the Krishna district of Andhra Pradesh state during 2013-2020. The result indicates that, in predicting paddy yield, the proposed model showed considerable superiority over other baseline models such as random forest regression and shallow neural network in terms of root mean square error (88.01 Kg/ha) and R-square value (91.76%). The findings also revealed that NDVI has significant impact on predicting crop yield compared to weather variables. Our study highlights that the proposed deep learning framework offers a simple, scalable, and cost-effective method for reliably predicting paddy yield based on NDVI before harvest. In addition, it is the first attempt to enhance the paddy yield prediction at gram panchayat level in India. |
| Keywords: | Paddy yield prediction, deep learning, LSTM, NDVI, Crop Insurance |
| Cite Article: | "Crop Yield Prediction at Gram Panchayat Scale using Deep Learning Framework", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 1, page no.577 - 583, January-2024, Available :http://www.ijsdr.org/papers/IJSDR2401083.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2401083 Registration ID:209939 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: 577 - 583 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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