Kamran Irfan

French National Institute for Agriculture, Food, and Environment (INRAE) | INRAE

Applying deep learning to images of cropping systems provides new knowledge and insights in research and commercial applications. Semantic segmentation or pixel-wise classification, of RGB images acquired at the ground level, into vegetation and background is a critical step in the estimation of several canopy traits. Current state of the art metho...

The assessment of rice yield at territory level is important for strategic economic decisions. Assessing spatial and temporal yield variability at regional scale is difficult because of the numerous factors involved, including agricultural practices, phenological calendars, and environmental contexts. New remote sensing data acquired at decametric...

In the global change context, an efficient management of the available resources has become one of the most important topics particularly for sustainable crop development. Many questions concern the evolution of the rice farming systems in Camargue in Southeastern France, which play a crucial role in controlling the soil salinity. Their surface are...

Leaf rolling in maize crops is one of the main plant reactions to water stress that can be visually scored in the field. However, leaf-scoring techniques do not meet the high-throughput requirements needed by breeders for efficient phenotyping. Consequently, this study investigated the relationship between leaf-rolling scores and changes in canopy...

Leaf rolling in maize crops is one of the main plant reactions to water stress that may be visually scored in the field. However, the leaf scoring did not reach the high-throughput desired by breeders for efficient phenotyping. This study investigates the relationship between leaf rolling score and the induced canopy structure changes that may be a...

Rice is cultivated as staple for over half of the World’s population. In Camargue (South of France) rice fields have been established on very young soils developed from historic fluvial deposits of the Rhone River. The comparison of clay mineralogy in a paddy field cultivated for 60 years and in a control shows a significant increase of the clay cr...

Rice is cultivated as staple for over half of the World's population. In Camargue (South of France) rice fields have been established on very young soils developed from historic fluvial deposits of the Rhône River. The comparison of clay mineralogy in a paddy field cultivated for 60 years and in a control shows a significant increase of the clay cr...

The crop model STICS was adapted for the flooded rice and model’s prediction ability was evaluated by the simulation of the plant biomass at harvest as well as the grain yield. The dataset used for this purpose was collected from the fields situated in whole Camargue (Southern France) and managed by the farmers. We introduced an original procedure...