The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

Standardization of crop yield estimation methods at various levels of farming helps to obtain
accurate agricultural statistics as well as assessing the suitability of agricultural practices …

Forest process models are mathematical representations of biological systems that
incorporate our understanding of physiological and ecological mechanisms into predictive …

Crop simulation models are used at the field scale to estimate crop yield potential, optimize
current management, and benchmark input-use efficiency. At issue is the ability of crop …

Climate drivers are key stress factors affecting upland rice yields in Sahel because the
region is vulnerable to unfavorable weather and has a very low adaptive capacity. This study …

The aim of the research was to create a prediction model for winter rapeseed yield. The
constructed model enabled to perform simulation on 30 June, in the current year …

Rice is the staple food for about half of the world's population. Although global production
has more than doubled in the last 40 years, food security problems still persist and need to …

We introduce a new forecasting methodology, referred to as adaptive learning forecasting,
that allows for both forecast averaging and forecast error learning. We analyze its theoretical …

Timely crop yield forecasts at regional and national level are crucial to manage trade and
industry planning and to mitigate price speculations. Sugarcane is responsible for 70% of …

To meet the growing demands from public and private stakeholders for early yield estimates,
a high-resolution (2 km× 2 km) rice yield forecasting system based on the integration of the …