Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy.

Autor: Silva JV; Sustainable Agrifood Systems, CIMMYT, Harare, Zimbabwe.; Plant Production Systems, Wageningen University, Wageningen, the Netherlands., Heerwaarden JV; Plant Production Systems, Wageningen University, Wageningen, the Netherlands., Reidsma P; Plant Production Systems, Wageningen University, Wageningen, the Netherlands., Laborte AG; Sustainable Impact Department, IRRI, Los Baños, the Philippines., Tesfaye K; Sustainable Agrifood Systems, CIMMYT, Addis Ababa, Ethiopia., Ittersum MKV; Plant Production Systems, Wageningen University, Wageningen, the Netherlands.

Publikováno v: Field crops research [Field Crops Res] 2023 Oct 15; Vol. 302, pp. 109063.

Southeast Asia must narrow down the yield gap to continue to be a major rice bowl.

Autor: Yuan S; MARA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China., Stuart AM; International Rice Research Institute, Metro Manila, Philippines., Laborte AG; International Rice Research Institute, Metro Manila, Philippines., Rattalino Edreira JI; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA., Dobermann A; International Fertilizer Association (IFA), Paris, France., Kien LVN; Institute of Policy and Strategy for Agriculture and Rural Development, Hanoi, Vietnam., Thúy LT; Conventional Rice Research and Development Center, Field Crops Research Institute, Lienhong, Vietnam., Paothong K; Ayutthaya Rice Research Center, Division of Rice Research and Development, Rice Department, Ayutthaya, Thailand., Traesang P; Thailand Rice Science Institute, Mueang Suphan Buri, Thailand., Tint KM; Marine Science Department, Mawlamyine University, Mawlamyine, Myanmar., San SS; International Rice Research Institute, Seed Division Compound, Department of Agriculture, Gyogone, Myanmar., Villafuerte MQ 2nd; Climatology and Agrometeorology Division, Department of Science and Technology (DOST), Philippine Atmospheric Geophysical and Astronomical Services Administration (PAGASA), Quezon City, Philippines., Quicho ED; International Rice Research Institute, Metro Manila, Philippines., Pame ARP; International Rice Research Institute, Metro Manila, Philippines., Then R; International Rice Research Institute, IRRI-Cambodia Office, Phnom Penh, Cambodia., Flor RJ; International Rice Research Institute, IRRI-Cambodia Office, Phnom Penh, Cambodia., Thon N; Rice Seed Development and Management Office, Department of Rice Crop, General Directorate of Agriculture, Phnom Penh, Cambodia., Agus F; Indonesian Center for Agricultural Land Resources Research and Development, Indonesian Agency for Agricultural Research and Development, Bogor, Indonesia., Agustiani N; Indonesian Center for Rice Research, Indonesian Agency for Agricultural Research and Development, Sukamandi, Indonesia., Deng N; MARA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China., Li T; Applied GeoSolutions, DNDC Applications Research and Training, Durham, NH, USA., Grassini P; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA. pgrassini2@unl.edu.

Publikováno v: Nature food [Nat Food] 2022 Mar; Vol. 3 (3), pp. 217-226. Date of Electronic Publication: 2022 Mar 24.

RiceAtlas, a spatial database of global rice calendars and production.

Autor: Laborte AG; Social Sciences Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines., Gutierrez MA; Social Sciences Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines., Balanza JG; Social Sciences Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines., Saito K; Sustainable Productivity Enhancement Program, Africa Rice Center (AfricaRice), 01 BP 2031, Cotonou, Benin., Zwart SJ; Sustainable Productivity Enhancement Program, Africa Rice Center (AfricaRice), 01 BP 2031, Cotonou, Benin., Boschetti M; Institute for Electromagnetic Sensing of the Environment, Italian National Research Council, Via Bassini 15, Milan 20133, Italy., Murty MVR; Social Sciences Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines., Villano L; Social Sciences Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines., Aunario JK; Social Sciences Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines., Reinke R; Plant Breeding Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines., Koo J; Environment and Production Technology, International Food Policy Research Institute (IFPRI), Washington, District Of Columbia 20005, USA., Hijmans RJ; Environmental Science and Policy, University of California, Davis, California 95616, USA., Nelson A; Social Sciences Division, International Rice Research Institute (IRRI), Los Baños 4031, Laguna, Philippines.; Department of Natural Resources, ITC - Faculty of Geo-Information Science and Earth Observation of the University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands.

Publikováno v: Scientific data [Sci Data] 2017 May 30; Vol. 4, pp. 170074. Date of Electronic Publication: 2017 May 30.

Spectral signature generalization and expansion can improve the accuracy of satellite image classification.

Autor: Laborte AG; International Rice Research Institute, Los Baños, Laguna, Philippines. aglaborte@gmail.com, Maunahan AA, Hijmans RJ

Publikováno v: PloS one [PLoS One] 2010 May 06; Vol. 5 (5), pp. e10516. Date of Electronic Publication: 2010 May 06.