Results 81 to 90 of about 131 (110)

Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties. [PDF]

Sensors (Basel)
Grunwald S, Murad MOF, Farrington S, Wallace W, Rooney D.   +4 more
europepmc   +1 more source

Some methods to improve the utility of conditioned Latin hypercube sampling. [PDF]

PeerJ, 2019
Malone BP, Minansy B, Brungard C.
europepmc   +1 more source

Quantification of Plasmodiophora brassicae Using a DNA-Based Soil Test Facilitates Sustainable Oilseed Rape Production.

Plants (Basel), 2016
Wallenhammar AC, Gunnarson A, Hansson F, Jonsson A.   +3 more
europepmc   +1 more source

Treatment adequacy for social anxiety disorder in primary care patients. [PDF]

PLoS One, 2018
Chapdelaine A, Carrier JD, Fournier L, Duhoux A, Roberge P.   +4 more
europepmc   +1 more source

From Rangelands to Cropland, Land-Use Change and Its Impact on Soil Organic Carbon Variables in a Peruvian Andean Highlands: A Machine Learning Modeling Approach. [PDF]

Ecosystems
Carbajal M, Ramírez DA, Turin C, Schaeffer SM, Konkel J, Ninanya J, Rinza J, De Mendiburu F, Zorogastua P, Villaorduña L, Quiroz R.   +10 more
europepmc   +1 more source

Development of a model system to identify differences in spring and winter oat. [PDF]

PLoS One, 2012
Chawade A, Lindén P, Bräutigam M, Jonsson R, Jonsson A, Moritz T, Olsson O.   +6 more
europepmc   +1 more source

Soil legacy data rescue via GlobalSoilMap and other international and national initiatives. [PDF]

GeoResJ, 2017
Arrouays D, Leenaars JGB, Richer-de-Forges AC, Adhikari K, Ballabio C, Greve M, Grundy M, Guerrero E, Hempel J, Hengl T, Heuvelink G, Batjes N, Carvalho E, Hartemink A, Hewitt A, Hong SY, Krasilnikov P, Lagacherie P, Lelyk G, Libohova Z, Lilly A, McBratney A, McKenzie N, Vasquez GM, Leatitia Mulder V, Minasny B, Luca M, Odeh I, Padarian J, Poggio L, Roudier P, Saby N, Savin I, Searle R, Solbovoy V, Thompson J, Smith S, Sulaeman Y, Vintila R, Rossel RV, Wilson P, Zhang GL, Swerts M, Oorts K, Karklins A, Feng L, Ibelles Navarro AR, Levin A, Laktionova T, Dell'Acqua M, Suvannang N, Ruam W, Prasad J, Patil N, Husnjak S, Pasztor L, Okx J, Hallet S, Keay C, Farewell T, Lilja H, Juilleret J, Marx S, Takata Y, Kazuyuki Y, Mansuy N, Panagos P, Van Liedekerke M, Skalsky R, Sobocka J, Kobza J, Eftekhari K, Kacem Alavipanah S, Moussadek R, Badraoui M, Da Silva M, Paterson G, da Conceicao Gonsalves M, Theocharopoulos S, Yemefack M, Tedou S, Vrscaj B, Grob U, Kozak J, Boruvka L, Dobos E, Taboada M, Moretti L, Rodriguez D.   +88 more
europepmc   +1 more source

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables. [PDF]

PeerJ, 2018
Hengl T, Nussbaum M, Wright MN, Heuvelink GBM, Gräler B.   +4 more
europepmc   +1 more source

Book Review: Pedometrics: How Relevant Is It to the Research on Soil Processes?

Frontiers in Environmental Science, 2019
Philippe C. Baveye
doaj   +1 more source

Editorial: Digital soil mapping using electromagnetic sensors

Frontiers in Soil Science
Triven Koganti, Philippe De Smedt, Philippe De Smedt, Mohammad Farzamian, Maria Knadel, John Triantafilis, Anders Vest Christiansen, Mogens H. Greve   +7 more
doaj   +1 more source