Employing Weather-Based Disease and Machine Learning Techniques for Optimal Control of Septoria Leaf Blotch and Stripe Rust in Wheat

Structure and dynamics of the Saharan atmospheric boundary layer during the West African monsoon onset: observations and analyses from the research flights of 14 and 17 July.

Septoria tritici blotch caused by the fungal pathogen Mycosphaerella graminicola is currently one of the most frequently reported diseases on both bread wheat and durum wheat in

However, techniques widely applied in data mining such as Computational Intelligence (CI) or Machine Learning (ML) techniques, have been fairly neglected by the process mining

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obtain an instant estimate of the polyphenol intake from an intervention study dose, Phenol-Explorer 2.0 enables the display of all metabolites identified in plasma and urine,

Highly concentrated pollution plumes em- anating from the Mexico City urban agglomeration revealed that mixing ratios of Hg ◦ as large as 500 ppqv were related to combustion

The design of cropping systems excluding the use of fungicides requires an innovative agro-ecological approach mixing cultural practices aiming to slow down the

In this thesis different embedded computer vision architectures intended to be used in ADAS using FPGAs are presented such as:.. • We present the implementation of a