Accurate prediction of crop yield supported by scientific and domain-relevant insights, is
useful to improve agricultural breeding, provide monitoring across diverse climatic …

Accurate prediction of crop yield is essential for agricultural trading, market risk management
and food security. Although various statistical models and machine learning models have …

To explore a robust tool for advancing digital breeding practices through an artificial
intelligence-driven phenotype prediction expert system, we undertook a thorough analysis of …

Multivariate time series modeling and prediction problems are abundant in many machine
learning application domains. Accurate interpretation of the prediction outcomes from the …

In science, estimation is the calculation of a current value, while forecasting (or prediction) is
the calculation of a future value. Both estimation and forecasting are based on covariates …

Multivariate time series prediction has important applications in the domain of energy-
efficient building technology. With the buildings consuming large amounts of electrical …

The continuously growing population throughout globe demands an ample food supply,
which is one of foremost challenge of smart agriculture. Timely and precise identification of …

Crop yield prediction is becoming progressively essential due to increasing concern about
food security. For anticipating the amount of food that will be available for the expanding …

Accurate prediction of crop yield supported by scientific and domain-relevant interpretations
can improve agricultural breeding by providing monitoring across diverse climatic …

Agriculture is said to be the backbone of Kenya's economy contributing to over 20% of the
country's Gross Domestic Product (GDP). More than 40% of the country's population are …