The frequent occurrence of global climate change and natural disasters highlights the
importance of precision agricultural monitoring, yield forecasting, and early warning …

Inadequate agricultural planning compounded by inaccurate predictions results in an
inflated local market rate and prompts higher importation of wheat. To tackle this problem …

Information on crop yield at scales ranging from the field to the global level is imperative for
farmers and decision makers. The current data sources to monitor crop yield, such as …

Understanding crop phenology is crucial for predicting crop yields and identifying potential
risks to food security. The objective was to investigate the effectiveness of satellite sensor …

Dataset quality heavily impacts the predictive performance of data-driven modelling. This
issue can be exacerbated in the prediction of agricultural production due to the complex …

South Asia, one of the most important food producing regions in the world, is facing a
significant threat to food grain production under the influence of extreme high temperatures …

Operational crop yield forecasting services typically provides crop yield forecasts based on
regression models between official yields and agro-environmental variables, among which …

Optimum herbicide use is a key factor affecting the success of any integrated weed
management strategy. The main objective of the current study was to implement a method …

Crop-yield models based on vegetation indices such as the normalized difference
vegetation index (NDVI) have been developed to monitor crop yield at higher spatial and …

High-throughput phenotyping (HTP) provides new opportunities for efficiently dissecting the
genetic basis of drought-adaptive traits, which is essential in current wheat breeding …