Shraddha Rawat

Modelling and Performance Evaluation of Machine Learning Techniques in Forecasting Cereal Yield for Shri Ganganagar Region, Rajasthan, India

Yash Chhabra, Shraddha Rawat & Shweta Gautam · Archives of Current Research International · 2024

One of agriculture's most difficult issues is predicting crop yield. Crop yield forecasting enables necessary decisions to be made to guarantee food security. The current study looks into the use of statistical and machine learning approaches for wheat and rice yield prediction u...

Open access Research Article 10.9734/acri/2024/v24i10913

Comparison between Different Mustard Yield Prediction Models Developed using Various Techniques for Udaipur Region of Rajasthan

Adita Mishra, Shraddha Rawat, Shweta Gautam & Ekta P. Mishra · International Journal of Environment and Climate Change · 2022

The present research was conducted to develop and compare mustard yield prediction models using SPSS regression, Artificial Neural Network (ANN) and Autoregressive Moving Average (ARIMA) model. Mustard crop is one of the major rabi crops of India with Rajasthan as the leading mus...

Open access Research Article 10.9734/ijecc/2022/v12i1130997

Regional Time Series Forecasting of Chickpea using ARIMA and Neural Network Models in Central Plains of Uttar Pradesh (India)

Bukke Vennela, Ekta Pathak Mishra, Shweta Gautam, Ashish Ratn Mishra & Shraddha Rawat · International Journal of Environment and Climate Change · 2022

Climate and yield prediction are the most important and challenging tasks in modern agriculture during the climate change era. In general, climate and yield are mostly non-linear and highly complicated. India is an agricultural country and most of its economy depends upon agricul...

Open access Research Article 10.9734/ijecc/2022/v12i1131280