ANALYSIS OF FOREST FIRES CAUSES AND THEIR MOTIVATIONS IN NORTHERN ALGERIA: THE DELPHI METHOD


Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States

The application of machine learning in crop yield prediction has gained considerable traction, yet uncertainties persist regarding the impact of the yield trends on these predictions and the differences between the detrending methods.In our study, we utilized extreme gradient boosting (XGBoost) to scrutinize the effects of no trend processing (NTP)

read more

In situ Phenotyping of Grapevine Root System Architecture by 2D or 3D Imaging: Advantages and Limits of Three Cultivation Methods

The root system plays an essential role in the development and physiology of the plant, as PROBIOTIC GUM MINT well as in its response to various stresses.However, it is often insufficiently studied, mainly because it is difficult to visualize.For grapevine, a plant of major economic interest, there is a growing need to study the root system, in par

read more