We use a 4-year panel (2019–2022) of 10,125 village councils in Ukraine to estimate effects
of the war started by Russia on area and expected yield of winter crops aggregated up from …

Accurate and timely wheat yield prediction is of great importance to global food security.
Early prediction of wheat yield at a field scale is essential for site-specific precision …

Wheat, one of the most widely cultivated cereals worldwide, is a nutritional source for
millions. Accurate mapping of wheat yield is crucial in the planning and decision-making for …

In this study, the usability of in-season estimated yield (INSEY) and optical-read sensor
Normalized Difference Vegetation Index (NDVI) at the Zadoks30 stage (Z 30) in rainfed …

Agriculture is the primary source of income for each country, serving as its mainstay. A
promising study topic has been predicting wheat production based on environmental, soil …

Making the best use of limited precipitation in semi-arid dryland cropping systems is
important for crop production. Tillage practices may influence how this precipitation is …

This multi-environment study aimed to investigate the usability of the sensor-based
Normalized Difference Vegetation Index (NDVI) for estimating bread wheat technological …

El trigo (Triticum aestivum) es un cultivo industrial de primera importancia para México,
autosuficiente en la producción de trigo cristalino, pero con déficit de 5 200 000 T anuales …

Yield prediction models can be improved by better integration of data and algorithms, and
the accuracy of yield prediction can be further improved by incorporating other factors such …

In this paper, we determine the parameters of the equation for predicting the yield of
agricultural crops (wheat, barley, rapeseed of both winter and spring forms) according to …