References
- AgroPortal, release 2.0, Spet. 2020.
- Aubin, S, Caracciolo, C, Keizer, J and RDA Agrisemantics, WG. 2017a. Agrisemantics: vision for an infrastructure for semantic-based interoperability of agricultural data. DOI: 10.7490/f1000research.1114967.1
- Aubin, S, Caracciolo, C and Whitehead, B. 2018. Uses and Needs of Semantic Resources in the Area of Agriculture. RDA Agrisemantics Working Group. DOI: 10.5281/zenodo.3700849
- Aubin, S, Caracciolo, C and Zervas, P. 2017b. Landscaping the Use of Semantics to Enhance the Interoperability of Agricultural Data. RDA Agrisemantics Working Group. DOI: 10.5281/zenodo.3697332
- Baker, T, Caracciolo, C, Doroszenko, A, Finch, L, Suominen, O and Suri, S. 2017. The Global Agricultural Concept Scheme and Agrisemantics. International Conference on Dublin Core and Metadata Applications 0, 14–15.
- Caliper. [WWW Document], n.d. URL
http://stats-class.fao.uniroma2.it/caliper/ (accessed 1.27.20). - Caracciolo, C, Aubin, S and Whitehead, B. 2019a. The Agrisemantics recommendations to improve data interoperability in agriculture. F1000Research 8. DOI: 10.7490/f1000research.1117569.1
- Caracciolo, C, Aubin, S, Whitehead, B and Zervas, P. 2019b.
Semantics for Data in Agriculture: A Community-Based Wish List . In: Garoufallou, E, Sartori, F, Siatri, R and Zervas, M (Eds.), Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science. Cham: Springer, pp. 340–345. DOI: 10.1007/978-3-030-14401-2_32 - CIAT. n.d. CGIAR BIG DATA Platform [WWW Document]. CGIAR Platform for Big Data in Agriculture. URL
https://bigdata.cgiar.org/ (accessed 4.15.20). - Crosson, P, Shalloo, L, O’Brien, D, Lanigan, GJ, Foley, PA, Boland, TM and Kenny, DA. 2011. A review of whole farm systems models of greenhouse gas emissions from beef and dairy cattle production systems. Animal Feed Science and Technology Special Issue: Greenhouse Gases in Animal Agriculture – Finding a Balance between Food and Emissions 166–167, 29–45. DOI: 10.1016/j.anifeedsci.2011.04.001
- David, R, Mabile, L, Specht, A, Sarah, S, Thomsen, M, Yahia, M, Dollé, L, Jonquet, C, Bailo, D, Bravo, E, Gachet, S, Gunderman, H, Hollebecq, J-E, Ioannidis, V, Jacob, D, Le Bras, Y, Lerigoleur, E, Cambon-Thomsen, A and Research Data Alliance – SHAring Reward and Credit (SHARC) Interest Group, TRD. 2020. FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles. Data Science Journal, 19(1), p.32. DOI: 10.5334/dsj-2020-032
- GO FAIR. n.d. GO FAIR [WWW Document]. GO FAIR. URL
https://www.go-fair.org/ (accessed 1.27.20). - Harper, L, Campbell, J, Cannon, EKS, Jung, S, Poelchau, M, Walls, R, Andorf, C, Arnaud, E, Berardini, TZ, Birkett, C, Cannon, S, Carson, J, Condon, B, Cooper, L, Dunn, N, Elsik, CG, Farmer, A, Ficklin, SP, Grant, D, Grau, E, Herndon, N, Hu, Z-L, Humann, J, Jaiswal, P, Jonquet, C, Laporte, M-A, Larmande, P, Lazo, G, McCarthy, F, Menda, N, Mungall, CJ, Munoz-Torres, MC, Naithani, S, Nelson, R, Nesdill, D, Park, C, Reecy, J, Reiser, L, Sanderson, L-A, Sen, TZ, Staton, M, Subramaniam, S, Tello-Ruiz, MK, Unda, V, Unni, D, Wang, L, Ware, D, Wegrzyn, J, Williams, J, Woodhouse, M, Yu, J and Main, D. 2018. AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database (Oxford) 2018. DOI: 10.1093/database/bay088
- Johnston, AE and Poulton, PR. 2018. The importance of long-term experiments in agriculture: their management to ensure continued crop production and soil fertility; the Rothamsted experience. Eur J Soil Sci, 69: 113–125. DOI: 10.1111/ejss.12521
- Jonquet, C, Toulet, A, Arnaud, E, Aubin, S, Dzalé Yeumo, E, Emonet, V, Graybeal, J, Laporte, M-A, Musen, MA, Pesce, V and Larmande, P. 2018a. AgroPortal: A vocabulary and ontology repository for agronomy. Computers and Electronics in Agriculture, 144: 126–143. DOI: 10.1016/j.compag.2017.10.012
- Jonquet, C, Toulet, A, Dutta, B and Emonet, V 2018b. Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal. J Data Semant, 7: 191–221. DOI: 10.1007/s13740-018-0091-5
- Musker, R and Schaap, B. 2018. Global Open Data in Agriculture and Nutrition (GODAN) initiative partner network analysis. F1000Res, 7: 47. DOI: 10.12688/f1000research.13044.1
- Musker, R, Tumeo, J, Schaap, B and Parr, M. 2018. GODAN’s Impact 2014–2018 – Improving Agriculture, Food and Nutrition with Open Data. F1000Research 7. DOI: 10.12688/f1000research.13044.1
- Nelson, GC, Valin, H, Sands, RD, Havlík, P, Ahammad, H, Deryng, D, Elliott, J, Fujimori, S, Hasegawa, T, Heyhoe, E, Kyle, P, Von Lampe, M, Lotze-Campen, H, Mason d’Croz, D, van Meijl, H, van der Mensbrugghe, D, Müller, C, Popp, A, Robertson, R, Robinson, S, Schmid, E, Schmitz, C, Tabeau, A and Willenbockel, D. 2014. Climate change effects on agriculture: Economic responses to biophysical shocks. Proc Natl Acad Sci USA, 111: 3274–3279. DOI: 10.1073/pnas.1222465110
- Nguyen, Q-D, Roussey, C, Poveda-Villalón, M, de Vaulx, C and Chanet, J-P. 2020. Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies. Applied Sciences, 10: 1803. DOI: 10.3390/app10051803
- Noy, NF, Shah, NH, Whetzel, PL, Dai, B, Dorf, M, Griffith, N, Jonquet, C, Rubin, DL, Storey, M-A, Chute, CG and Musen, MA. 2009. BioPortal: ontologies and integrated data resources at the click of a mouse. Nucleic Acids Res, 37, W170–W173. DOI: 10.1093/nar/gkp440
- Perryman, SAM, Castells-Brooke, NID, Glendining, MJ, Goulding, KWT, Hawkesford, MJ, Macdonald, AJ, Ostler, RJ, Poulton, PR, Rawlings, CJ, Scott, T and Verrier, PJ. 2018. The electronic Rothamsted Archive (e-RA), an online resource for data from the Rothamsted long-term experiments. Sci Data 5. DOI: 10.1038/sdata.2018.72
- Platform for Big Data in Agriculture. 2017. Building the alliance for an agricultural data revolution [WWW Document]. CGIAR Platform for Big Data in Agriculture\Year in review 2017. URL
https://bigdata.cgiar.org/year-in-review-2017/ (accessed 1.21.20). - Platform for Big Data in Agriculture. 2018. Decoding the data ecosystem [WWW Document]. CGIAR Platform for Big Data in Agriculture|Year in review 2018. URL
https://bigdata.cgiar.org/year-in-review-2018/ (accessed 1.21.20). - Poulton, P, Johnston, J, Macdonald, A, White, R and Powlson, D. 2018. Major limitations to achieving “4 per 1000” increases in soil organic carbon stock in temperate regions: Evidence from long-term experiments at Rothamsted Research, United Kingdom. Glob Chang Biol, 24, 2563–2584. DOI: 10.1111/gcb.14066
- RDA Agrisemantics, WG. 2019. 39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition.
- Roussey, C, Stephan, B, Géraldine, A and Daniel, B. 2019. Weather Data Publication on the LOD using SOSA/SSN Ontology. Semantic Web Journal. DOI: 10.3233/SW-200375
- Schultes, E. 2019. The Yin-Yang of the Internet of FAIR Data and Services.
- Shannon, DK, Clay, DE and Kitchen, NR. 2020.
Precision Agriculture Basics . John Wiley & Sons. - Stellato, A, Rajbhandari, S, Turbati, A, Fiorelli, M, Caracciolo, C, Lorenzetti, T, Keizer, J and Pazienza, MT. 2015.
VocBench: A Web Application for Collaborative Development of Multilingual Thesauri . In: Gandon, F, Sabou, M, Sack, H, d’Amato, C, Cudré-Mauroux, P and Zimmermann, A (Eds.), The Semantic Web. Latest Advances and New Domains, Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 38–53. DOI: 10.1007/978-3-319-18818-8_3 - Villa, F, Bagstad, KJ, Voigt, B, Johnson, GW, Portela, R, Honzák, M and Batker, D. 2014. A Methodology for Adaptable and Robust Ecosystem Services Assessment. PLOS ONE, 9:
e91001 . DOI: 10.1371/journal.pone.0091001 - Villa, F, Balbi, S, Athanasiadis, IN and Caracciolo, C. 2017. Semantics for interoperability of distributed data and models: Foundations for better-connected information. F1000Res 6, 686. DOI: 10.12688/f1000research.11638.1
- VocBench [WWW Document]. n.d. URL
http://vocbench.uniroma2.it/ (accessed 5.7.20). - Whitehead, B. 2020. Agrisemantics [WWW Document]. URL
https://agrisemantics.org/ (accessed 1.27.20). - Wilkinson, MD, Dumontier, M, Aalbersberg, IjJ, Appleton, G, Axton, M, Baak, A, Blomberg, N, Boiten, J-W, Santos, LB. da S. Bourne, PE, Bouwman, J, Brookes, AJ, Clark, T, Crosas, M, Dillo, I, Dumon, O, Edmunds, S, Evelo, CT, Finkers, R, Gonzalez-Beltran, A, Gray, AJG, Groth, P, Goble, C, Grethe, JS, Heringa, J, Hoen, PAC’t, Hooft, R, Kuhn, T, Kok, R, Kok, J, Lusher, SJ, Martone, ME, Mons, A, Packer, AL, Persson, B, Rocca-Serra, P, Roos, M, van Schaik, R., Sansone, S-A, Schultes, E, Sengstag, T, Slater, T, Strawn, G, Swertz, MA, Thompson, M, Lei, J, van der Mulligen, E, van Velterop, J, Waagmeester, A, Wittenburg, P, Wolstencroft, K, Zhao, J and Mons, B. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data, 3: 1–9. DOI: 10.1038/sdata.2016.18
- Zeng, ML. 2008. Knowledge Organization Systems (KOS). KO, 35: 160–182. DOI: 10.5771/0943-7444-2008-2-3-160