CASTOR SEEDS FARMING IN BIHAR WITH MACHINE LEARNING INTEGRATION

Authors

  • Md Sayeem Uddin,Dr. Vipul Kumar Baranwal

Keywords:

Castor seeds, Bihar agriculture, Machine learning, Remote sensing, Precision agriculture, Crop monitoring, Yield prediction

Abstract

Castor (Ricinus communis L.) cultivation in Bihar represents a significant opportunity forsustainable agriculture and biofuel production. This review examines the current state ofcastor farming in Bihar and explores

References

Aykas, D. P., Ball, C., Sia, A., Zhu, K., Shotts, M. L., Schmenk, A., & RodriguezSaona, L. (2020). In-situ screening of soybean quality with a novel handheld nearinfrared sensor. Sensors, 20(21), 6283.

Bendig, J., Yu, K., Aasen, H., Bolten, A., Bennertz, S., Broscheit, J., ... & Bareth, G. (2015). Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. International Journal of Applied Earth Observation and Geoinformation, 39, 79-87.

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Published

2024-09-05

How to Cite

Md Sayeem Uddin,Dr. Vipul Kumar Baranwal. (2024). CASTOR SEEDS FARMING IN BIHAR WITH MACHINE LEARNING INTEGRATION . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 5946–5962. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3510

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Section

Articles