81 to 90 of 100 Results
5 mai 2020 - Amatrop: Tropical Weed studies
Boraud, Maxime; Le Bourgeois, Thomas; Marnotte, Pascal; Auzoux, Sandrine; Fayolle, Benjamin, 2020, "Weed surveys of several sugarcane estates in Côte d'Ivoire (1997)", https://doi.org/10.18167/DVN1/Y5SRMR, CIRAD Dataverse, V2
Floristic and phytoecological study of weeds in the sugarcane estates of Ferké 1 and 2, Borotou-koro and Zuénoula in Côte d'Ivoire (1997). Records in Presence / Absence. This dataset covers 544 plant surveys for 231 weed species. |
5 mai 2020 - Amatrop: Tropical Weed studies
Huguenot, Simon; Aboubakary; Vall, Eric; Marnotte, Pascal; Le Bourgeois, Thomas; Auzoux, Sandrine; Fayolle, Benjamin, 2020, "Effect of mechanical weeding compared to hand weeding on cotton weed flora in Northern Cameroon (2001)", https://doi.org/10.18167/DVN1/9PDXYC, CIRAD Dataverse, V2
Comparative experimental study of the effect of mechanical weeding compared to manual weeding on the weed flora of cotton in Northern Cameroon, within the framework of the project PRASAC. Abundance index rating 1-9. This dataset covers 1217 plant surveys for 71 weed species. |
5 mai 2020 - Amatrop: Tropical Weed studies
Marnotte, Pascal; Le Bourgeois, Thomas; Auzoux, Sandrine; Fayolle, Benjamin, 2020, "Weed surveys in food crops and irrigated rice in the Zonmon region, Benin (2013)", https://doi.org/10.18167/DVN1/X98KVY, CIRAD Dataverse, V2
Characterization of weed communities of food crops (groundnut, maize, sweet potato, cassava, fallow land) and irrigated rice in the Zonmon region, Benin in 2013. Phytoecological study with abundance scale 1-9. This dataset covers 26 plant surveys for 86 weed species. |
5 mai 2020 - Amatrop: Tropical Weed studies
Baillif, Stéphane; Esther, Jean-Jo; Marnotte, Pascal; Marion, Daniel; Le Bourgeois, Thomas; Auzoux, Sandrine; Fayolle, Benjamin, 2020, "Effect of tillage date on germination and phenology of weeds in sugarcane, at Etang Salé, Reunion Island (2017-2018)", https://doi.org/10.18167/DVN1/GDNUCH, CIRAD Dataverse, V1, UNF:6:HD82ziSxzkAdFYIaqTSm0w== [fileUNF]
Evaluation of the effect of the month of tillage along the year on the weed germination and phenology in sugarcane crop at Etang Salé, Reunion Island. 2017-2018. Experimental design, 12 dates of tillage, 2 replications, 4-6 observation dates. This Dataset covers 219 plant surveys... |
5 mai 2020 - UPR AIDA
Christina, Mathias; Le Mezo, Lionel; Mezino, Mickaël, 2020, "Cane yield simulations in Reunion from 1998 to 2018 using the Mosicas model", https://doi.org/10.18167/DVN1/STPYZW, CIRAD Dataverse, V1, UNF:6:ERdWYui1i3cb8f3O6Clq+w== [fileUNF]
This dataset includes simulations of fresh cane yield at the field scale and averaged per agro-climatic zone in Reunion from 1998 to 2018 using the Mosicas model. The dataset included two output files for field scale and zone scale data. The input files to run the MOSICAS model a... |
Roche, Mathieu; Helmer, Thierry; Martin, Pierre; Chaminuka, Petronella; Dimitriou, Ioannis; Csorba, Adam; Lindsten, Agneta; Lundén, Tomas; Van Boheemen, Peter, 2020, "LEAP4FNSSA (WP3 - KMS): Terminology for KEOPS", https://doi.org/10.18167/DVN1/GQ8DPL, CIRAD Dataverse, V1, UNF:6:q+wkvuEpP3iSokRJHqL1qA== [fileUNF]
In order to highlight terminology to integrate in the LEAP4FNSSA KMS (Knowledge Management System) called KEOPS (Knowledge ExtractOr Pipeline System), a dedicated terminology to the LEAP4FNSSA project has been extracted with a text-mining tool (BioTex) from a corpus dealing with... |
Capitalisation and standardization of weed survey data in tropical cropping systems |
12 mars 2020 - MOOD
Valentin, Sarah; Mercier, Alizé; Lancelot, Renaud; Roche, Mathieu; Arsevska, Elena, 2020, "PADI-web COVID-19 corpus: news articles manually labelled", https://doi.org/10.18167/DVN1/MSLEFC, CIRAD Dataverse, V1, UNF:6:yo9WiPe7jSdSA43cmAivxg== [fileUNF]
This dataset contains two files: a corpus of 275 manually labelled COVID-2019-news articles retrieved by PADI-web from Dec. 31, 2019, to Jan. 26, 2020 (padiweb_covid19.xlsx), and the multi-term expressions extracted from the news articles content using a text-mining tool, BIOTEX... |
Horizon 2020 Project : MOOD - MOnitoring Outbreak events for Disease surveillance in a data science context Projet Horizon 2020 : MOOD - Veille sanitaire des maladies infectieuses dans un contexte de science des données |
Unité mixte de recherche - Animal · Santé · Territoires · Risques · Écosystèmes Gestionnaire : Facundo Muñoz (facundo point munoz at cirad point fr) |
