Resultados de búsqueda - Sense data.

  1. The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015 por International Food Policy Research Institute, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Government of China, Chinese Academy of Sciences

    Publicado 2018
    “…County-level land use data were drawn from a national land cover/use database developed by the Chinese Academy of Sciences, using satellite remote-sensing data from the Landsat Thematic Mapper/Enhanced Thematic Mapper images. …”
    Enlace del recurso
    Conjunto de datos
  2. Study on Enhancing Capacities of Extension and Advisory Services (EAS) in Using Data and Information Available Through Digital Platforms and Applications in Odisha, India por Dominic, Ditty Maria, Sulaiman V, Rasheed, Mittal, Nimisha, Sharma, Sheetal, Shalini, Gakhar

    Publicado 2023
    “…However, processing and analyzing big data is extremely complex. Making sense of big data is an evolutionary process that calls for the realization of its potential and the streamlining of numerous procedures. …”
    Enlace del recurso
    Artículo preliminar
  3. Validating high frequency deployment of the Diet Quality Questionnaire por Manners, Rhys, International Institute of Tropical Agriculture

    Publicado 2023
    “…Despite the uncertainties around crowdsourced data, crowdsourcing may provide respondents with a sense of anonymity, responding more accurately, without the feeling of enumerator expectations. …”
    Enlace del recurso
    Artículo preliminar
  4. Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Groundtruthing data collection and stakeholder en... por Centre of Excellence in Agri-Food Systems and Nutrition

    Publicado 2025
    “…The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote-sensing data and artificial intelligence augmented analytics. …”
    Enlace del recurso
    Informe técnico
  5. ECOSat (Estimation of carbon offsets with satellites) - Final report por Schulthess, Urs, Fonteyne, Simon, Gardeazabal Monsalve, Andrea

    Publicado 2024
    “…The conclusion suggests that most successful remote sensing applications for tillage detection and residue management rely on survey data. …”
    Enlace del recurso
    Artículo preliminar
  6. Free online trainings on soil health monitoring with satellite based remote sensors por Huq, Rafiq, Lesueur, Didier

    Publicado 2024
    “…Each session featured three one-hour lectures as outlined below: 1. « Earth Observation and Soil Health: Where Innovation Meets Practice » - Focus: The origins and development of Earth Observation (EO) technology, its applications innatural sciences and soil health monitoring, as well as its opportunities and limitations. 2. « Satellite-Based Remote Sensing: How Earth Observation Enhances Soil Health Monitoring » - Focus: Various remote sensing (RS) technologies, their application in soil data collection, and the role of RS data in monitoring soil health. 3. « From Data to Decisions: Translating Remote Sensing Insights into Practical Soil Health Solutions » - Focus: AI-based agricultural informatics, the use of machine learning in data analysis and automation, and the importance of baseline data for machine learning algorithms.…”
    Enlace del recurso
    Informe técnico
  7. Conservation Agriculture Benefits Indian Farmers, but Technology Targeting Needed for Greater Impacts por Krishna, Vijesh V., Keil, Alwin, Jain, Meha, Weiqi Zhou, Jose, Monish, Surendran-Padmaja, Subash, Barba-Escoto, Luis, Singh, Balwinder, Jat, Mangi Lal, Erenstein, Olaf

    Publicado 2022
    “…Econometric models and machine learning algorithms were used to analyze remote sensing data and farm household data collected from the Indian states of Punjab and Bihar, two contrasting agrarian economies of the IGP. …”
    Enlace del recurso
    Journal Article
  8. Monitoring spatial distribution of commercial rattans and palms in the tropical forest of Baratang Islands (Andaman and Nicobar Islands) por Nagabhatla, Nidhi, Roy, P.S., Jagdale, R.

    Publicado 2007
    “…The potential use of remote sensing is highly promising and the study is an approach for multidisciplinary assessments. …”
    Enlace del recurso
    Journal Article
  9. Application of multi-layer neural network and hyperspectral reflectance in genome-wide association study for grain yield in bread wheat por Fei, Shuaipeng, Hassan, Muhammad Adeel, Yonggui Xiao, Rasheed, Awais, Xianchun Xia, Ma, Yuntao, Luping Fu, Zhen Chen, He Zhonghu

    Publicado 2022
    “…In this study, a natural population containing 166 wheat cultivars and elite lines was used for time-series prediction of GY using ground-based hyperspectral remote sensing. Canopy hyperspectral data (350–2500 nm) was collected at the flowering, early grain-filling (EGF), mid grain-filling (MGF), and late grain-filling (LGF) stages under four environments. …”
    Enlace del recurso
    Journal Article
  10. Investigation of aquaculture dynamics at a Ramsar site, using earth observation systems in conjunction with a socio-economic assessment por Nagabhatla, Nidhi, Pattnaik, C., Senaratna Sellamuttu, Sonali, Prasad, N., Wickramasuriya, R., Finlayson, C. Max

    Publicado 2009
    “…A comprehensive temporal analysis (1977-2007) provided a structural base to schematically analyse the dynamics of biophysical and ecological changes to the wetland by effectively using a spectrum of remote sensing data. The present status and changing trends in ecological dimensions of Lake Kolleru were illustrated, utilizing information from spatial analyses, complimented with socio-economic assessment. …”
    Enlace del recurso
    Journal Article
  11. High-throughput characterization and phenotyping of resistance and tolerance to virus infection in sweetpotato por Kreuze, Jan F., Ramírez, D., Fuentes, S., Loayza, H., Ninanya, J., Rinza, J., David, M., Gamboa, S., Boeck, B. de, Díaz, F., Pérez, A., Silva, L., Campos, Hugo

    Publicado 2024
    “…The results suggest that using machine learning and remotely sensed data, further complemented by fast and sensitive LAMP assays to confirm results of predicted classifications could be used as a high throughput approach to support virus resistance phenotyping in sweetpotato breeding.…”
    Enlace del recurso
    Journal Article

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