Résumé
To implement agricultural practices that are more respectful of the environment, precision agriculture methods for monitoring crop heterogeneity are becoming more and more spatially detailed. The objective of this study was to evaluate the potential of Ultra-High-Resolution UAV images with centimeter GNSS positioning for plant-scale monitoring. A Dji Phantom 4 RTK UAV with a 20 MPixel RGB camera was used, flying at an altitude of 25 m (0.7 cm resolution). This study was conducted on an experimental plot sown with maize. A centimeter-precision Trimble Geo7x GNSS receiver was used for the field measurements. After evaluating the precision of the UAV’s RTK antenna in static mode on the ground, the positions of 17 artificial targets and 70 maize plants were measured during a series of flights in different RTK modes. Agisoft Metashape software was used. The error in position of the UAV RTK antenna in static mode on the ground was less than one centimeter, in terms of both planimetry and elevation. The horizontal position error measured in flight on the 17 targets was less than 1.5 cm, while it was 2.9 cm in terms of elevation. Finally, according to the RTK modes, at least 81% of the corn plants were localized to within 5 cm of their position, and 95% to within 10 cm.
Auteurs, date et publication :
Auteurs Jean-Marc Gilliot , Dalila Hadjar , Joël Michelin
Publication : Remote Sensing
Date : 2022
Volume : 14
Issue : 10
Pages : 2391
Catégorie(s)
#ANR-Citation #INRAE #PRO #PRO QualiAgroAuteurs, date et publication :
Auteurs J. Côte
Date : 2025
Catégorie(s)
#INRAE #PEARLAuteurs, date et publication :
Auteurs Bouetard A.
Date : 2025
Catégorie(s)
#INRAE #PEARLRésumé
The aim of this study was to systematically analyze the potential and limitations of using plant functional trait observations from global databases versus in situ data to improve our understanding of vegetation impacts on ecosystem functional properties (EFPs). Using ecosystem photosynthetic capacity as an example, we first provide an objective approach to derive robust EFP estimates from gross primary productivity (GPP) obtained from eddy covariance flux measurements. Second, we investigate the impact of synchronizing EFPs and plant functional traits in time and space to evaluate their relationships, and the extent to which we can benefit from global plant trait databases to explain the variability of ecosystem photosynthetic capacity. Finally, we identify a set of plant functional traits controlling ecosystem photosynthetic capacity at selected sites. Suitable estimates of the ecosystem photosynthetic capacity can be derived from light response curve of GPP responding to radiation (photosynthetically active radiation or absorbed photosynthetically active radiation). Although the effect of climate is minimized in these calculations, the estimates indicate substantial interannual variation of the photosynthetic capacity, even after removing site-years with confounding factors like disturbance such as fire events. The relationships between foliar nitrogen concentration and ecosystem photosynthetic capacity are tighter when both of the measurements are synchronized in space and time. When using multiple plant traits simultaneously as predictors for ecosystem photosynthetic capacity variation, the combination of leaf carbon to nitrogen ratio with leaf phosphorus content explains the variance of ecosystem photosynthetic capacity best (adjusted R2 = 0.55). Overall, this study provides an objective approach to identify links between leaf level traits and canopy level processes and highlights the relevance of the dynamic nature of ecosystems. Synchronizing measurements of eddy covariance fluxes and plant traits in time and space is shown to be highly relevant to better understand the importance of intra-and interspecific trait variation on ecosystem functioning.
Auteurs, date et publication :
Auteurs Talie Musavi , Mirco Migliavacca , Martine Janet van de Weg , Jens Kattge , Georg Wohlfahrt , Peter M. van Bodegom , Markus Reichstein , Michael Bahn , Arnaud Carrara , Tomas F. Domingues , Michael Gavazzi , Damiano Gianelle , Cristina Gimeno , André Granier , Carsten Gruening , Kateřina Havránková , Mathias Herbst , Charmaine Hrynkiw , Aram Kalhori , Thomas Kaminski
Publication : Ecology and Evolution
Date : 2025
Volume : 6
Issue : 20
Pages : 7352-7366
Catégorie(s)
#ACBB #ACBB Theix #INRAERésumé
Rain-fed pastoral systems are tightly connected to meteorological conditions. It is, therefore, likely that climate change, including changing atmospheric CO2 concentration, temperature, precipitation and patterns of climate extremes, will greatly affect pastoral systems. However, exact impacts on the productivity and carbon dynamics of these systems are still poorly understood, particularly over longtime scales. The present study assesses the potential effects of future climatic conditions on productivity and soil organic carbon (SOC) stocks of mowed and rotationally grazed grasslands in France. We used the CenW ecosystem model to simulate carbon, water, and nitrogen cycles in response to changes in environmental drivers and management practices. We first evaluated model responses to individual changes in each key meteorological variable to get better insights into the role and importance of each individual variable. Then, we used 3 sets of meteorological variables corresponding to 3 Representative Concentration Pathways (RCP 2.6, RCP 4.5 and RCP 8.5) for long-term model runs from 1975 to 2100. Finally, we used the same three RCPs to analyze the responses of modelled grasslands to extreme climate events. We found that increasing temperature slightly increased grasslands productivities but strongly reduced SOC stocks. A reduction in precipitation led to reductions of biomass and milk production but increased SOC. Conversely, doubling CO2 concentration strongly increased biomass and milk production and marginally reduced SOC. These SOC trends were unexpected. They arose because both increasing precipitation and CO2 increased photosynthetic carbon gain, but they had an even greater effect on the proportion of biomass that could be grazed. The amount of carbon remaining on site and able to contribute to SOC formation was actually reduced under both higher precipitation and CO2. The simulations under the three RCPs indicated that grassland productivity was increased, but that required higher N fertilizer application rates and also led to substantial SOC losses. We thus conclude that, while milk productivity may continue at current rates under climate change, or even increase slightly, there could be some soil C losses over the 21st century. In addition, under the highest-emission scenario, the increasing importance of extreme climate conditions (heat waves and droughts) might render conditions at our site in some years as unsuitable for milk production. It highlights the importance of tailoring farming practices to achieve the dual goals of maintaining agricultural production while safeguarding soil C stocks.
Auteurs, date et publication :
Auteurs N. J. B. Puche , M. U. F. Kirschbaum , N. Viovy , Abad Chabbi
Publication : PLOS ONE
Date : 2025
Volume : 18
Issue : 4
Pages : e0283370
Catégorie(s)
#ACBB #ACBB Lusignan #INRAERésumé
In France, about 90,000 ha per year of arable land become unsuitable for food production due to erosion, acidification, sealing and pollution by metallic and organic compounds. Bioenergy crops such as Miscanthus x giganteus are used to rehabilitate polluted soils for crop production. Although the economic potential of this crop is known, the crop abilities to regenerate the soil biological properties enabling sustainable crop production still remain unclear. Here, we evaluated the effects of the Miscanthus crop on the abundance and diversity of soil bacterial and fungal communities in a wastewater-contaminated soil, using synchronic and diachronic evaluation strategies. A 3-year field experiment, near Paris, was set up on an agricultural field irrigated with raw wastewater for more than 100 years, thus inducing a strong metal and organic contamination of the soil. We characterized the abundance and diversity of soil microbial communities using metagenomic techniques. Our results show that the Miscanthus crop had an early effect on microbial communities by stimulating bacterial diversity, by about 20 %, and fungal diversity, by about 10 %. This positive effect could be explained by the release of fresh organic matter from litter decomposition and root exudation, and by the absence of tillage and pesticide spraying, which are known to degrade soil microflora. On the other hand, no significant effect on microbial biomass has been recorded. Overall our findings show that Miscanthus cropping is a promising practice to enhance the regeneration of soil microbiological diversity and to reclame polluted soils.
Auteurs, date et publication :
Auteurs Emilie Bourgeois , Samuel Dequiedt , Mélanie Lelièvre , Folkert van Oort , Isabelle Lamy , Pierre-Alain Maron , Lionel Ranjard
Publication : Environmental Chemistry Letters
Date : 2015
Volume : 13
Issue : 4
Pages : 495-501
Catégorie(s)
#ANR-Citation #Genosol #INRAEAuteurs, date et publication :
Auteurs Francesca Ricci , Laure Bentze , David Montagne , Sabine Houot , Michel Bertrand , Céline Pelosi
Publication : Soil organisms
Date : 2025
Volume : 87
Issue : 2
Pages : 71-83
Catégorie(s)
#⛔ No DOI found #INRAE #PRO #PRO QualiAgroAuteurs, date et publication :
Auteurs P. Battie Laclau , Delgado-Rojas J-S , Christina M , Nouvellon Y , Bouillet J-P , De Cassia Piccolo M , Moreira Marcelo Z , De Moraes Gonçalves J-L , Roupsard O , J.-P. Laclau
Publication : Forest Ecology and Management,
Date : 2025
Volume : 364
Pages : 77-89
Catégorie(s)
#CIRAD #FORET Itatinga #INRAEAuteurs, date et publication :
Auteurs Marie-Agnès Coutellec , Anne-Laure Besnard , Thierry Caquet
Publication : Ecotoxicology
Date : 2013
Volume : 22
Issue : 5
Pages : 879-888
Catégorie(s)
#INRAE #PEARLAuteurs, date et publication :
Auteurs Claire Duchet , Marie-Agnès Coutellec , Evelyne Franquet , Christophe Lagneau , Laurent Lagadic
Date : 2011