output
20152025
most citedCurrent knowledge and future research opportunities for modeling annual crop mixtures. A review

130 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.CV2025

TimeSenCLIP: A Time Series Vision-Language Model for Remote Sensing

Pallavi Jain, Diego Marcos, Dino Ienco +2

Vision-language models (VLMs) have shown significant promise in remote sensing applications, particularly for land-use and land-cover (LULC) mapping via zero-shot classification an…

cs.CV2024★ 10 cited

SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting

Pallavi Jain, Dino Ienco, Roberto Interdonato +2

Pre-trained vision-language models (VLMs), such as CLIP, demonstrate impressive zero-shot classification capabilities with free-form prompts and even show some generalization in sp…

q-bio.PE2019★ 130 cited

Current knowledge and future research opportunities for modeling annual crop mixtures. A review

Noémie Gaudio, Abraham J. Escobar-Gutiérrez, Pierre Casadebaig +18

Growing mixtures of annual arable crop species or genotypes is a promising way to improve crop production without increasing agricultural inputs. To design optimal crop mixtures, c…

math.AP2015

Admissible initial growth for diffusion equations with weakly superlinear absorption

Andrey Shishkov, Laurent Véron

We study the admissible growth at infinity of initial data of positive solutions of $\prt\_t u-\Gd u+f(u)=0$ in $\BBR\_+\ti\BBR^N$ when is a continuous function, {\it mildly…