Forecasting potato production in major South Asian countries: a comparative study of machine learning and time series models
This study analyzed and forecasted potato production in eight major South Asian countries
from 1961 to 2028 using advanced time series and machine learning approaches. Annual …
from 1961 to 2028 using advanced time series and machine learning approaches. Annual …
[HTML][HTML] Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learning
Chicken is a major source of dietary protein worldwide. The dispersion and movement of
chickens constitute vital indicators of their health and status. This is especially evident in …
chickens constitute vital indicators of their health and status. This is especially evident in …
Time-series analysis for the number of foot and mouth disease outbreak episodes in cattle farms in Thailand using data from 2010–2020
Thailand is one of the countries where foot and mouth disease outbreaks have resulted in
considerable economic losses. Forecasting is an important warning technique that can allow …
considerable economic losses. Forecasting is an important warning technique that can allow …
Modeling and forecasting rainfall patterns in India: a time series analysis with XGBoost algorithm
This study utilizes time series analysis and machine learning techniques to model and
forecast rainfall patterns across different seasons in India. The statistical models, ie …
forecast rainfall patterns across different seasons in India. The statistical models, ie …
Decoding potato power: a global forecast of production with machine learning and state-of-the-art techniques
S Yadav, AMG Al Khatib, BM Alshaib, S Ranjan… - Potato Research, 2024 - Springer
As the second largest potato producer globally, reliable forecasts of output for India and
major growing states are crucial. This study developed autoregressive integrated moving …
major growing states are crucial. This study developed autoregressive integrated moving …