Weather has a major impact on agriculture. Statistical models have been used to estimate or
forecast crop yield from weather information. In this paper, a general statistical framework is …

Turmeric (Curcuma longa L.) is a rhizomatous herbaceous perennial plant belonging to the
family Zingiberaceae, which is native to tropical South Asia. It grows in tropical and …

Crop yield forecasting based on different climatic conditions for coastal regions is a critical
process. In this study, regression based adaptive boosting prediction model is presented …

The primary objective of this paper is to develop yield and price forecasting models
employed in informed crop decision planning—a key aspect of effective farm management …

The agriculture sector plays an essential function within the Indian economic system.
Foodgrains provide almost all the calories and proteins. This paper aims to compare ARIMA …

Turmeric (Curcuma longa) is a spice that has been used for a long time in traditional
medicine for its anti-inflammatory properties and recently used in the food industry for its …

Seasonal crop estimates at large scales are essential for national food security. Therefore,
this study aimed to predict non-irrigated dry bean yields for 41 districts in the semi-arid …

Frequent occurrences of extreme rainfall events create severe threat to agricultural
production. This is one of the most significant consequences of global warming due to …

This compendium presents comprehensive information on more than 25 important spice
crops commercially grown in India and traded globally, apart from over 40 spices that have …

The statistical modelling approaches viz., multiple linear regression and principal
component analysis were used to develop zonal weather models for district-level mustard …