Fosco M. Vesely
University of Milan
13 Papers
14 Citations
Fosco M. Vesely is an academic researcher from University of Milan. The author has contributed to research in topics: Ideotype & Precision agriculture. The author has an hindex of 7, co-authored 10 publications.
Chat about Author
Papers
Quantifying Uncertainty Due to Stochastic Weather Generators in Climate Change Impact Studies
TL;DR: It is demonstrated that the choice of a weather generator in the downscaling process may have a higher impact on crop yield estimates than the climate scenario adopted, indicating that widely accepted outcomes of climate change studies using this downscaled technique need reconsideration.
PocketPlant3D: Analysing canopy structure using a smartphone
Roberto Confalonieri,Livia Paleari,Marco Foi,Ermes Movedi,Fosco M. Vesely,William Thoelke,Cristina Agape,Giulia Borlini,Irene Ferri,Federico Massara,Roberto Motta,Riccardo A. Ravasi,Sofia Tartarini,Camilla Zoppolato,Luca M. Baia,Andrea Brumana,D. Colombo,Antonio Curatolo,Valerio Fauda,Denise Gaia,Andrea Gerosa,Antonio Ghilardi,Enrico Grassi,Andrea Magarini,Francesco Novelli,Fatima B. Perez Garcia,Andrea Rota Graziosi,Michele Salvan,Tommaso Tadiello,Laura Rossini +29 more
TL;DR: A smartphone app that makes use of the device accelerometer and magnetometer to measure leaf insertion angle and the leaf angles from the insertion to the tip, in turn used to reconstruct the 3D distribution of the angles of photosynthetic tissues, which makes it a useful tool for phenotyping activities and ecophysiological studies.
28
Estimating Crop Nutritional Status Using Smart Apps to Support Nitrogen Fertilization. A Case Study on Paddy Rice.
Livia Paleari,Ermes Movedi,Fosco M. Vesely,William Thoelke,Sofia Tartarini,Marco Foi,Mirco Boschetti,Francesco Nutini,Roberto Confalonieri +8 more
TL;DR: A diagnostic system to support topdressing N fertilization based on the use of smart apps to derive a N nutritional index (NNI; actual/critical plant N content) was developed and successfully evaluated on 43 widely grown European varieties.
Biophysical models and meta-modelling to reduce the basis risk in index-based insurance: A case study on winter cereals in Italy
Sofia Tartarini,Fosco M. Vesely,Ermes Movedi,Luca Radegonda,Andrea Pietrasanta,Gianluca Recchi,Roberto Confalonieri +6 more
TL;DR: In this paper, the authors developed a new framework to derive indices characterized by a low basis risk, based on the use of a complex biophysical crop model extended to account for the extreme weather events of interest and on crop and region-specific meta-models derived from the input-output structure of the crop model.
15
Tailoring parameter distributions to specific germplasm: impact on crop model-based ideotyping
TL;DR: Results revealed that the adoption of germplasm-specific distributions may markedly affect ideotyping, especially for the identification of most promising traits.