Search Results - "Laborte, Alice"

Refine Results
  1. 1

    Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines) by Carranza, Emmanuel John M., Laborte, Alice G.

    Published in Computers & geosciences (01-01-2015)
    “…Machine learning methods that have been used in data-driven predictive modeling of mineral prospectivity (e.g., artificial neural networks) invariably require…”
    Get full text
    Journal Article
  2. 2

    Rice quality: How is it defined by consumers, industry, food scientists, and geneticists? by Custodio, Marie Claire, Cuevas, Rosa Paula, Ynion, Jhoanne, Laborte, Alice G., Velasco, Maria Lourdes, Demont, Matty

    Published in Trends in food science & technology (01-10-2019)
    “…Quality is a powerful engine in rice value chain upgrading. However, there is no consensus on how “rice quality” should be defined and measured in the rice…”
    Get full text
    Journal Article
  3. 3

    Data-Driven Predictive Modeling of Mineral Prospectivity Using Random Forests: A Case Study in Catanduanes Island (Philippines) by Carranza, Emmanuel John M., Laborte, Alice G.

    “…The Random Forests (RF) algorithm is a machine learning method that has recently been demonstrated as a viable technique for data-driven predictive modeling of…”
    Get full text
    Journal Article
  4. 4

    Explaining rice yields and yield gaps in Central Luzon, Philippines: An application of stochastic frontier analysis and crop modelling by Silva, João Vasco, Reidsma, Pytrik, Laborte, Alice G., van Ittersum, Martin K.

    Published in European journal of agronomy (01-01-2017)
    “…•The yield gap was decomposed into efficiency, resource and technology yield gaps.•Rice yield gap in Central Luzon was 3.8 and 4.8tonha−1 in the wet and dry…”
    Get full text
    Journal Article
  5. 5

    RICA: A rice crop calendar for Asia based on MODIS multi year data by Mishra, Bhogendra, Busetto, Lorenzo, Boschetti, Mirco, Laborte, Alice, Nelson, Andrew

    “…[Display omitted] •Development and validation of a remote-sensing based rice crop calendar for Asia.•Start and end of season dates are estimated for…”
    Get full text
    Journal Article
  6. 6

    Farmers' Preference for Rice Traits: Insights from Farm Surveys in Central Luzon, Philippines, 1966-2012 by Laborte, Alice G, Paguirigan, Neale C, Moya, Piedad F, Nelson, Andrew, Sparks, Adam H, Gregorio, Glenn B

    Published in PloS one (28-08-2015)
    “…Many modern rice varieties (MVs) have been released but only a few have been widely adopted by farmers. To understand farmers' preferences, we characterized…”
    Get full text
    Journal Article
  7. 7

    Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy by Silva, João Vasco, Heerwaarden, Joost van, Reidsma, Pytrik, Laborte, Alice G., Tesfaye, Kindie, Ittersum, Martin K. van

    Published in Field crops research (15-10-2023)
    “…Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving…”
    Get full text
    Journal Article
  8. 8

    Improving food security in Asia through consumer-focused rice breeding by Custodio, Marie Claire, Demont, Matty, Laborte, Alice, Ynion, Jhoanne

    Published in Global food security (01-06-2016)
    “…Public rice breeding plays a crucial role in food security in Asia, but it is often supply-focused. Consumer-focused rice breeding incorporates consumer…”
    Get full text
    Journal Article
  9. 9

    RiceAtlas, a spatial database of global rice calendars and production by Laborte, Alice G., Gutierrez, Mary Anne, Balanza, Jane Girly, Saito, Kazuki, Zwart, Sander J., Boschetti, Mirco, Murty, M.V.R., Villano, Lorena, Aunario, Jorrel Khalil, Reinke, Russell, Koo, Jawoo, Hijmans, Robert J., Nelson, Andrew

    Published in Scientific data (30-05-2017)
    “…Knowing where, when, and how much rice is planted and harvested is crucial information for understanding the effects of policy, trade, and global and…”
    Get full text
    Journal Article
  10. 10

    Intensification of rice-based farming systems in Central Luzon, Philippines: Constraints at field, farm and regional levels by Silva, João Vasco, Reidsma, Pytrik, Lourdes Velasco, Ma, Laborte, Alice G., van Ittersum, Martin K.

    Published in Agricultural systems (01-09-2018)
    “…Understanding the opportunities for sustainable intensification requires an integrated assessment at field, farm and regional levels of past developments. Two…”
    Get full text
    Journal Article
  11. 11

    Helping feed the world with rice innovations: CGIAR research adoption and socioeconomic impact on farmers by Mishra, Ashok K., Pede, Valerien O., Arouna, Aminou, Labarta, Ricardo, Andrade, Robert, Veettil, Prakash C., Bhandari, Humnath, Laborte, Alice G., Balie, Jean, Bouman, Bas

    Published in Global food security (01-06-2022)
    “…Rice production has increased significantly with the efforts of international research centers and national governments in the past five decades. Nonetheless,…”
    Get full text
    Journal Article
  12. 12
  13. 13

    Influence of production situation on the incidence of brown spot of rice (Oryza sativa) caused by Bipolaris oryzae in the Philippines by Macasero, John Bethany M., Castilla, Nancy P., Pangga, Ireneo B., Marquez, Leonardo V., Martin, Edwin C., Duque, Ulysses G., Laborte, Alice G.

    Published in Plant pathology (01-02-2024)
    “…Brown spot, caused by Bipolaris oryzae, is becoming more prevalent and important in the Philippines but risk assessment is limited. Surveys of 2186 farmers'…”
    Get full text
    Journal Article
  14. 14
  15. 15

    Progress in varietal improvement for increasing upland rice productivity in the tropics by Saito, Kazuki, Asai, Hidetoshi, Zhao, Dule, Laborte, Alice G., Grenier, Cécile

    Published in Plant production science (03-07-2018)
    “…Enhancing rice yield in upland rice systems through genetic improvement remains a major challenge in the tropics. This review aims to provide the trends on…”
    Get full text
    Journal Article
  16. 16

    Relating X-band SAR Backscattering to Leaf Area Index of Rice in Different Phenological Phases by Asilo, Sonia, Nelson, Andrew, de Bie, Kees, Skidmore, Andrew, Laborte, Alice, Maunahan, Aileen, Quilang, Eduardo Jimmy P.

    Published in Remote sensing (Basel, Switzerland) (01-06-2019)
    “…The objective of this study is to provide complete information on the dynamic relationship between X-band (3.11 cm) backscattering intensity (σ°) and rice…”
    Get full text
    Journal Article
  17. 17

    Spectral signature generalization and expansion can improve the accuracy of satellite image classification by Laborte, Alice G, Maunahan, Aileen A, Hijmans, Robert J

    Published in PloS one (06-05-2010)
    “…Conventional supervised classification of satellite images uses a single multi-band image and coincident ground observations to construct spectral signatures…”
    Get full text
    Journal Article
  18. 18

    Trends in Varietal Diversity of Main Staple Crops in Asia and Africa and Implications for Sustainable Food Systems by Gatto, Marcel, de Haan, Stef, Laborte, Alice, Bonierbale, Merideth, Labarta, Ricardo, Hareau, Guy

    Published in Frontiers in sustainable food systems (23-02-2021)
    “…Crop species and varietal diversity on farm have the potential to trigger multiple regulating and provisioning ecosystem services. The latter is commonly…”
    Get full text
    Journal Article
  19. 19

    Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan by Boschetti, Mirco, Nelson, Andrew, Nutini, Francesco, Manfron, Giacinto, Busetto, Lorenzo, Barbieri, Massimo, Laborte, Alice, Raviz, Jeny, Holecz, Francesco, Mabalay, Mary Rose O

    “…Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical…”
    Get full text
    Journal Article
  20. 20

    Rice yields and yield gaps in Southeast Asia: Past trends and future outlook by Laborte, Alice G., de Bie, Kees (C.A.J.M.), Smaling, Eric M.A., Moya, Piedad F., Boling, Anita A., Van Ittersum, Martin K.

    Published in European journal of agronomy (2012)
    “…► We analyzed rice yield gaps in farmers’ fields in 4 Southeast Asian countries.► Rice yield gaps between average and best farmers’ yields were 1.2–2.6 t ha…”
    Get full text
    Journal Article