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ASSET Practical Lexicon: An agroecology lexicon in Laos
No full textThe overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology.
In this context, a joint workshop ASSET-ALiSEA was organized by GRET and CIRAD in Laos the 30th of November 2022. An agroecology lexicon composed of 18 concepts and 261 terms was constructed in the context of this workshop. This lexicon could be used for the knowledge hub associated with the ASSET Project.
This dataset contains:
- A presentation that summarizes the content of this workshop and the method used to construct these agroecology lexicons
- The agroecology theoretical lexicon (TL) with terms validated
- The agroecology practical lexicon (PL) co-constructed in Laos
Results:
- Theoretical lexicon (TL): 16 concepts with 331 terms - 138 terms manually validated in the Workshop
- Practical lexicon (PL) constructed in Laos: 18 concepts with 157 terms. 107 terms come from the theoretical lexicon. <br
HSI Database on fresh yam slices for the prediction and visualization of dry matter at CIRAD, France (year 1)
No full textThis database contains 199 mean spectra of hyperspectral images acquired on slices of fresh yam at 0, 15, 30, 45, 75 days of storage . The HSI measurements were performed at UMR Qualisud of CIRAD, Montpellier, by using Specim FX17 camera. The objective of this work is the developing of calibration for prediction and visualization of dry matter of fresh yam during storage
Spectral and laboratory data for boiled cassava in Colombia
No full textThis file contains spectral and laboratory data for boiled cassava that was collected by CIAT team in Colombia following standard operating procedures
Floral traits of nineteen Mediterranean weed species
No full textThe data set describes the floral phenotypes and phenology of 19 common weed species found in olive groves and vineyards in southern France (Occitanie region). In total, 15 floral traits and 10 leaf traits, including phenological, morpho-anatomical and chemical traits, were measured at the plant level (n = 274) in a greenhouse experiment
Participatory Processing Data on Boiled Cassava generated by UAC-FSA in Benin
No full textThis dataset contains data generated during the Activity 4 or Step 3 - Participatory Processing Diagnosis and Quality Characteristics performed by the UAC-FSA team in Benin on Boiled Cassava, within the RTBfoods project (following the Methodological Guidance).
This dataset may contain diverse types of anonymized data (e‧g. questionnaires, processing parameters, cleaned and processed data) which is to be available on open access following a 2-years embargo after the end of the RTBfoods project (embargo ending date: 15 March 2025)
This dataset may also contain non-anonymized data (e‧g. raw data, consent forms signed by interviewees) which cannot be made publicly available, at any time; non-anonymized data is contained in the .tar‧gz file. For more information about the content of the .tar‧gz file, you are invited to contact the authors mentioned in the metadata
NIRS Calibration Database on raw mashed Sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda
No full textThe spectra were collected from 3 raw mashed roots. To scan raw mashed roots, atleast 3 raw roots were mashed together into a fine mash . After mashing, 3 subsamples were collected into a cuvette and scanned, producing three spectra per genotype. Sensory data was collected by 12 trained panellists, who consumed small cubes of each cooked sweetpotato genotype and rated the overall liking of the samples on a 10-point hedonic scale ranging from 1 (dislike extremely) to 10 (like extremely), for each sensory trait per genotypes
Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"
No full textShell script for preprocessing of raw sequences ; R scripts for data filtering, reduction and analysis ; abundance table data
La Réunion - carte de l'occupation du sol en 2022
No full textDans le cadre du Centre d’Expertise Scientifique Occupation des Sols de THEIA, l’UMR TETIS du CIRAD développe une méthode de cartographie d’occupation du sol automatisée intitulée Moringa . La méthodologie consiste en une segmentation d’une image à Très Haute Résolution Spatiale (identification d'objets homogènes sur l'image THRS) puis une classification de chaque objet homogène par l’extraction d’indices d’une ou de plusieurs séries temporelles d’images à haute résolution spatiale et temporelle ; la classification est entrainée sur une base de données d’apprentissage réalisée par photo-interprétation et expertise de terrain. La collaboration entre l’UMR Tétis et l’UR AïDA a permis la production de la carte d’occupation du sol pour l'année 2022. Elle utilise une mosaïque d'images Spot6/7 (acquisitions Mai-Juin 2022) pour la segmentation puis toutes les images Sentinel2 de cette même année pour la classification. La base de données de terrain est constituée de plus de 5000 objets actualisés en 2022 et caractérisés selon 3 niveaux d’une nomenclature emboîtée comportant de 4 à 29 classes. Le niveau le plus détaillé distinguant les types de cultures présente une précision globale de 90% et un indice de Kappa est de 0,89. Le niveau 2 (12 classes), distinguant les groupes de cultures présente une précision globale de 92% et un indice de Kappa est de 0,91. Le niveau 1 (4 classes), distinguant les grands groupes d'occupation du sol présente une précision globale de 98% et un indice de Kappa est de 0,96. La carte d'occupation du sol, produite au format vecteur Esri Shape, est diffusée sur le catalogue de données spatiales du Cirad à la Réunion : http://aware.cirad.fr
NIRS Database on cassava un-milled Gari at IITA, Nigeria
No full textThis database consists of spectra data collected on un-milled gari using the benchtop FOSS Near Infrared Spectrometer (NIRS) with serial number 3013-0857. A total of 36 spectra data were collected by the duplicate scan of 16 gari samples. The Spectra data were collected in IITA, Nigeria, in the year 2020. Repeatability of the NIRS was also checked by taking 10 replicate measurements of an un-milled gari sample, and the RMSE was computed. The spectra data were collected using the developed SOP by the RTBfoods project
Hyperspectral calibration database on cooked cassava to predict dry matter content
No full textThis database contains 100 NIR average spectra of HSI images of cooked cassava root acquired in CIAT (Colombia), by using hyper spectral camera Specim FX17. Cassava roots were harvested from 07/03/2022 to 11/03/2022 in CIAT (Colombia) and analysed immediately after cooking. Twelve roots were used and each root is divided into six semicylinders. The semicylinders number 03,43,103 and 114 were used for HSI and DM measurements.
Data was acquired using MEGHAR, K., DAVRIEUX, F., & ALAMU, E. (2020). SOP for Hyperspectral Imaging Analysis of Fresh RTB Crops. High-Throughput Phenotyping Protocols (HTPP), WP3. Montpellier, France: RTBfoods Project Report, 14 p