Abstract
Yield expectation is a significant issue in horticulture. This research work shows the tendency of artificial neural network technology to be utilized for the crop forecast season based on Rabi, Kharif, Summer. Government is keen on knowing how much yield is going to anticipate on district wise. Previously, yield expectation was performed by survey report and manual calculation of field workers. The yield forecast is a significant issue that remaining parts to be understood dependent on reliable dataset. Artificial neural network is one of the forecasting algorithms in recent trends. Main contribution of this classification algorithms is used for obtain the better result. This research is discussed with 5 years data of various district in Tamil Nadu from 2008 to 2013. This research paper is used to mainly concentrate on yield prediction of entire Tamil Nadu state and also district wise yield prediction among major crops of Tamil Nadu. The experimental results show that artificial neural network has the higher accuracy rate.
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Nithiya, S., Srividhya, S., Parimala, G. (2022). Zone Based Crop Forecast at Tamil Nadu Using Artificial Neural Network. In: Manogaran, G., Shanthini, A., Vadivu, G. (eds) Proceedings of International Conference on Deep Learning, Computing and Intelligence. Advances in Intelligent Systems and Computing, vol 1396. Springer, Singapore. https://doi.org/10.1007/978-981-16-5652-1_26
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