-
1
-
-
85167071536
-
-
[Online] Available at: <> (accessed 2017).
-
AgGateway, 2005. [Online] Available at: < http://www.aggateway.org/Home.aspx> (accessed 2017).
-
(2005)
-
-
-
2
-
-
85167048610
-
-
Bringing Mobile Wallets to Nigerian Farmers. [Online] Available at: <> (accessed 2017).
-
Akinboro, B., 2016. Bringing Mobile Wallets to Nigerian Farmers. [Online] Available at: < http://www.cgap.org/blog/bringing-mobile-wallets-nigerian-farmers> (accessed 2017).
-
(2016)
-
-
Akinboro, B.1
-
3
-
-
85167013082
-
-
[Online] Available at: <> (accessed 2017).
-
Anon., 2016. AeroFarms. [Online] Available at: < http://aerofarms.com/> (accessed 2017).
-
(2016)
-
-
-
4
-
-
84890119176
-
A review of wireless sensors and networks’ applications in agriculture
-
Aqeel ur, R., Abbasi, A., Islam, N., Shaikh, Z., A review of wireless sensors and networks’ applications in agriculture. Comput. Stand. Interfaces 36:2 (2014), 263–270.
-
(2014)
Comput. Stand. Interfaces
, vol.36
, Issue.2
, pp. 263-270
-
-
Aqeel ur, R.1
Abbasi, A.2
Islam, N.3
Shaikh, Z.4
-
5
-
-
85167070172
-
-
Informatics to Support International Food Safety. s.l., s.n.
-
Armbruster, W.J., MacDonell, M.M., 2014. Informatics to Support International Food Safety. s.l., s.n., pp. 127–134.
-
(2014)
, pp. 127-134
-
-
Armbruster, W.J.1
MacDonell, M.M.2
-
6
-
-
85167015958
-
-
The application of data mining techniques to characterize agricultural soil profiles. s.l., s.n.
-
Armstrong, L., Diepeveen, D., Maddern, R., 2007. The application of data mining techniques to characterize agricultural soil profiles. s.l., s.n.
-
(2007)
-
-
Armstrong, L.1
Diepeveen, D.2
Maddern, R.3
-
7
-
-
84874788283
-
Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs
-
Atzberger, C., Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs. Remote Sens. 5:2 (2013), 949–981.
-
(2013)
Remote Sens.
, vol.5
, Issue.2
, pp. 949-981
-
-
Atzberger, C.1
-
8
-
-
85167055606
-
-
[Online] Available at: <> (accessed 2017).
-
aWhere Inc., 2015. [Online] Available at: < http://www.awhere.com/> (accessed 2017).
-
(2015)
-
-
-
9
-
-
85167030658
-
-
The New World economy, s.l.: Report addressed to Ms Segolene Royal, Minister of Environment, Sustainable Development and Energy, working group led by Corinne Lepage.
-
Babinet, Gilles et al., 2015. The New World economy, s.l.: Report addressed to Ms Segolene Royal, Minister of Environment, Sustainable Development and Energy, working group led by Corinne Lepage.
-
(2015)
-
-
Gilles, B.1
-
10
-
-
84902972855
-
Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches
-
Barrett, B., Nitze, I., Green, S., Cawkwell, F., Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches. Remote Sens. Environ. 152:2 (2014), 109–124.
-
(2014)
Remote Sens. Environ.
, vol.152
, Issue.2
, pp. 109-124
-
-
Barrett, B.1
Nitze, I.2
Green, S.3
Cawkwell, F.4
-
11
-
-
0035047573
-
Spatial validation of crop models for precision agriculture
-
Basso, B., et al. Spatial validation of crop models for precision agriculture. Agric. Syst. 68:2 (2001), 97–112.
-
(2001)
Agric. Syst.
, vol.68
, Issue.2
, pp. 97-112
-
-
Basso, B.1
-
12
-
-
0033781223
-
Remote sensing for irrigated agriculture: examples from research and possible applications
-
Bastiaanssen, W., Molden, D., Makin, I., Remote sensing for irrigated agriculture: examples from research and possible applications. Agric. Water Manage. 46:2 (2000), 137–155.
-
(2000)
Agric. Water Manage.
, vol.46
, Issue.2
, pp. 137-155
-
-
Bastiaanssen, W.1
Molden, D.2
Makin, I.3
-
13
-
-
84860392830
-
Monitoring global croplands with coarse resolution earth observations: the Global Agriculture Monitoring (GLAM) project
-
Becker-Reshef, I., et al. Monitoring global croplands with coarse resolution earth observations: the Global Agriculture Monitoring (GLAM) project. Remote Sens. 2:6 (2010), 1589–1609.
-
(2010)
Remote Sens.
, vol.2
, Issue.6
, pp. 1589-1609
-
-
Becker-Reshef, I.1
-
14
-
-
85167039107
-
-
Soil-terrain modeling for site-specific agricultural management. Site-Specific Management for Agricultural Systems, American Society of Agronomy, Crop Science Society of America, Soil Science Society of America
-
Bell, J., Butler, C., Thompson, J., 1995. Soil-terrain modeling for site-specific agricultural management. Site-Specific Management for Agricultural Systems, American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, pp. 209–227.
-
(1995)
, pp. 209-227
-
-
Bell, J.1
Butler, C.2
Thompson, J.3
-
15
-
-
85167068112
-
-
[Online] Available at: <> (accessed 2017).
-
Blue River Technology, 2011. [Online] Available at: < http://www.bluerivert.com/> (accessed 2017).
-
(2011)
-
-
-
16
-
-
4544311272
-
Precision agriculture and sustainability
-
Bongiovanni, R., Lowenberg-DeBoer, J., Precision agriculture and sustainability. Precision Agric. 5:4 (2004), 359–387.
-
(2004)
Precision Agric.
, vol.5
, Issue.4
, pp. 359-387
-
-
Bongiovanni, R.1
Lowenberg-DeBoer, J.2
-
17
-
-
85166996421
-
-
Big data comes to the farm, sowing mistrust: seed makers barrel into technology business, s.l.: Wall Street Journal (Online).
-
Bunge, J., 2014. Big data comes to the farm, sowing mistrust: seed makers barrel into technology business, s.l.: Wall Street Journal (Online).
-
(2014)
-
-
Bunge, J.1
-
18
-
-
85167051315
-
Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making
-
Capalbo, S.M., Antle, J.M., Seavert, C., Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making. Agric. Syst., 2016.
-
(2016)
Agric. Syst.
-
-
Capalbo, S.M.1
Antle, J.M.2
Seavert, C.3
-
19
-
-
85014058557
-
The ethics of big data in big agriculture
-
Carbonell, I., The ethics of big data in big agriculture. Internet Policy Rev. 5:1 (2016), 1–13.
-
(2016)
Internet Policy Rev.
, vol.5
, Issue.1
, pp. 1-13
-
-
Carbonell, I.1
-
20
-
-
85017078900
-
Publicising food: big data, precision agriculture, and co-experimental techniques of addition
-
Carolan, M., Publicising food: big data, precision agriculture, and co-experimental techniques of addition. Soc. Ruralis, 2016.
-
(2016)
Soc. Ruralis
-
-
Carolan, M.1
-
21
-
-
0038054588
-
AP – animal production technology: recognition system for pig cough based on probabilistic neural networks
-
Chedad, A., et al. AP – animal production technology: recognition system for pig cough based on probabilistic neural networks. J. Agric. Eng. Res. 79:4 (2001), 449–457.
-
(2001)
J. Agric. Eng. Res.
, vol.79
, Issue.4
, pp. 449-457
-
-
Chedad, A.1
-
22
-
-
84994297166
-
Big data for remote sensing: challenges and opportunities
-
Chi, M., et al. Big data for remote sensing: challenges and opportunities. Proc. IEEE 104:11 (2016), 2207–2219.
-
(2016)
Proc. IEEE
, vol.104
, Issue.11
, pp. 2207-2219
-
-
Chi, M.1
-
23
-
-
84890315265
-
Big data in life cycle assessment
-
Cooper, J., et al. Big data in life cycle assessment. J. Ind. Ecol. 17:6 (2013), 796–799.
-
(2013)
J. Ind. Ecol.
, vol.17
, Issue.6
, pp. 796-799
-
-
Cooper, J.1
-
24
-
-
85166995285
-
-
[Online] Available at: <> (accessed 2017).
-
Cropster, 2007. [Online] Available at: < https://www.cropster.com/> (accessed 2017).
-
(2007)
-
-
-
25
-
-
84912097596
-
The potential and uptake of remote sensing in insurance: a review
-
de Leeuw, J., et al. The potential and uptake of remote sensing in insurance: a review. Remote Sens. 6:11 (2014), 10888–10912.
-
(2014)
Remote Sens.
, vol.6
, Issue.11
, pp. 10888-10912
-
-
de Leeuw, J.1
-
26
-
-
34547525049
-
Comparison of genetic algorithm and neural network approaches for the drying process of carrot
-
Erenturk, S., Erenturk, K., Comparison of genetic algorithm and neural network approaches for the drying process of carrot. J. Food Eng. 78:3 (2007), 905–912.
-
(2007)
J. Food Eng.
, vol.78
, Issue.3
, pp. 905-912
-
-
Erenturk, S.1
Erenturk, K.2
-
27
-
-
85167031029
-
-
Farm Hack. Farm Hack. [Online] Available at: <> (accessed January 2017).
-
Farm Hack, 2010. Farm Hack. [Online] Available at: < http://farmhack.org> (accessed January 2017).
-
(2010)
-
-
-
28
-
-
85166993954
-
-
Field to Market. Fieldprint Calculator. [Online] Available at: <> (accessed 2017).
-
Field to Market, 2015. Fieldprint Calculator. [Online] Available at: < https://www.fieldtomarket.org/fieldprint-calculator/> (accessed 2017).
-
(2015)
-
-
-
29
-
-
85166997424
-
-
Food and Agriculture Organization of the United Nations. How to Feed the World in 2050., Rome: s.n.
-
Food and Agriculture Organization of the United Nations, 2009. How to Feed the World in 2050., Rome: s.n.
-
(2009)
-
-
-
30
-
-
84954498894
-
Drivers of household food availability in sub-Saharan Africa based on big data from small farms
-
Frelat, R., et al. Drivers of household food availability in sub-Saharan Africa based on big data from small farms. Proc. Natl. Acad. Sci. 113:2 (2016), 458–463.
-
(2016)
Proc. Natl. Acad. Sci.
, vol.113
, Issue.2
, pp. 458-463
-
-
Frelat, R.1
-
31
-
-
85167009848
-
-
Drought and retribution: evidence from a large scale rainfall index insurance in Mexico. s.l., s.n.
-
Fuchs, A., Wolff, H., 2011. Drought and retribution: evidence from a large scale rainfall index insurance in Mexico. s.l., s.n., pp. 13–14.
-
(2011)
, pp. 13-14
-
-
Fuchs, A.1
Wolff, H.2
-
32
-
-
83055180602
-
Phenomics – technologies to relieve the phenotyping bottleneck
-
Furbank, R.T., Teste, M., Phenomics – technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 16:12 (2011), 635–644.
-
(2011)
Trends Plant Sci.
, vol.16
, Issue.12
, pp. 635-644
-
-
Furbank, R.T.1
Teste, M.2
-
33
-
-
38049035787
-
Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
-
Galford, G.L., et al. Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil. Remote Sens. Environ. 112:2 (2008), 576–587.
-
(2008)
Remote Sens. Environ.
, vol.112
, Issue.2
, pp. 576-587
-
-
Galford, G.L.1
-
34
-
-
76749142575
-
Precision agriculture and food security
-
Gebbers, R., Adamchuk, V., Precision agriculture and food security. Science 327:5967 (2010), 828–831.
-
(2010)
Science
, vol.327
, Issue.5967
, pp. 828-831
-
-
Gebbers, R.1
Adamchuk, V.2
-
35
-
-
78651244294
-
Communicating complexity: integrated assessment of trade-offs concerning soil fertility management within African farming systems to support innovation and development
-
Giller, K., et al. Communicating complexity: integrated assessment of trade-offs concerning soil fertility management within African farming systems to support innovation and development. Agric. Syst. 104:1 (2011), 191–203.
-
(2011)
Agric. Syst.
, vol.104
, Issue.1
, pp. 191-203
-
-
Giller, K.1
-
36
-
-
85167004235
-
-
Global Envision. Unleashing Ugandan farmers’ potential through mobile phones. [Online] Available at: <> (accessed 2017).
-
Global Envision, 2006. Unleashing Ugandan farmers’ potential through mobile phones. [Online] Available at: < https://www.mercycorps.org/research-resources/unleashing-ugandan-farmers-potential-through-mobile-phones> (accessed 2017).
-
(2006)
-
-
-
37
-
-
85166991710
-
-
Global Open Data for Agriculture and Nutrition (GODAN) initiative. [Online] Available at: <> (accessed 2017).
-
GODAN, 2015. Global Open Data for Agriculture and Nutrition (GODAN) initiative. [Online] Available at: < http://www.godan.info/> (accessed 2017).
-
(2015)
-
-
-
38
-
-
85053361262
-
Past, present and future of epigenetics applied to livestock breeding
-
González-Recio, O., Toro, M., Bach, A., Past, present and future of epigenetics applied to livestock breeding. Front. Genet., 6, 2015, 305.
-
(2015)
Front. Genet.
, vol.6
, pp. 305
-
-
González-Recio, O.1
Toro, M.2
Bach, A.3
-
39
-
-
85167039433
-
-
Reducing and Managing Food Scares, Washington, DC: International Food Policy Research, 2014–2015 Global Food Policy Report.
-
Grace, D., McDermot, J., 2015. Reducing and Managing Food Scares, Washington, DC: International Food Policy Research, 2014–2015 Global Food Policy Report.
-
(2015)
-
-
Grace, D.1
McDermot, J.2
-
40
-
-
85167051742
-
-
mAgri Programme. [Online] Available at: <> (accessed 2017).
-
GSMA, 2014. mAgri Programme. [Online] Available at: < http://www.gsma.com/mobilefordevelopment/programmes/magri/programme-overview> (accessed 2017).
-
(2014)
-
-
-
41
-
-
53549084584
-
Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data
-
Gutiérrez, P., et al. Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data. Comput. Electron. Agric. 64:2 (2008), 293–306.
-
(2008)
Comput. Electron. Agric.
, vol.64
, Issue.2
, pp. 293-306
-
-
Gutiérrez, P.1
-
42
-
-
84901594468
-
Precise plant breeding using new genome editing techniques: opportunities, safety and regulation in the EU
-
Hartung, F., Schiemann, J., Precise plant breeding using new genome editing techniques: opportunities, safety and regulation in the EU. Plant J. 78:5 (2014), 742–752.
-
(2014)
Plant J.
, vol.78
, Issue.5
, pp. 742-752
-
-
Hartung, F.1
Schiemann, J.2
-
43
-
-
84907325157
-
The rise of “big data” on cloud computing: review and open research issues
-
Hashem, I., et al. The rise of “big data” on cloud computing: review and open research issues. Inform. Syst. 47 (2015), 98–115.
-
(2015)
Inform. Syst.
, vol.47
, pp. 98-115
-
-
Hashem, I.1
-
44
-
-
85030769353
-
A network-science support system for food chain safety: a case from hungarian cattle production
-
Jóźwiaka, Á., Milkovics, M., Lakne, Z., A network-science support system for food chain safety: a case from hungarian cattle production. Int. Food Agribusiness Manage. Rev. Special Issue, 19(A), 2016.
-
(2016)
Int. Food Agribusiness Manage. Rev. Special Issue
, vol.19A)
-
-
Jóźwiaka, Á.1
Milkovics, M.2
Lakne, Z.3
-
45
-
-
85015255850
-
Agri-IoT: A Semantic Framework for Internet of Things-Enabled Smart Farming Applications
-
Reston VA, USA, s.n.
-
Kamilaris, A., Gao, F., Prenafeta-Boldú F.X., Ali, M.I., Agri-IoT: A Semantic Framework for Internet of Things-Enabled Smart Farming Applications. 2016, Reston, VA, USA, s.n.
-
(2016)
-
-
Kamilaris, A.1
Gao, F.2
Prenafeta-Boldú, F.X.3
Ali, M.I.4
-
46
-
-
85167002923
-
-
Online analysis of remote sensing data for agricultural applications. s.l., OSGeo's European conference on free and open source software for geospatial.
-
Karmas, A., Karantzalos, K., Athanasiou, S., 2014. Online analysis of remote sensing data for agricultural applications. s.l., OSGeo's European conference on free and open source software for geospatial.
-
(2014)
-
-
Karmas, A.1
Karantzalos, K.2
Athanasiou, S.3
-
47
-
-
84962239789
-
Geospatial Big Data for Environmental and Agricultural Applications.
-
Karmas, A., Tzotsos, A. & Karantzalos, K., 2016. Geospatial Big Data for Environmental and Agricultural Applications. In: s.l.: Springer International Publishing, pp. 353–390.
-
(2016)
In: s.l.: Springer International Publishing
, pp. 353-390
-
-
Karmas, A.1
Tzotsos, A.2
Karantzalos, K.3
-
49
-
-
84897562213
-
Big-data applications in the government sector
-
Kim, G.-H., Trimi, S., Chung, J.-H., Big-data applications in the government sector. Commun. ACM 57:3 (2014), 78–85.
-
(2014)
Commun. ACM
, vol.57
, Issue.3
, pp. 78-85
-
-
Kim, G.-H.1
Trimi, S.2
Chung, J.-H.3
-
50
-
-
40949087118
-
Shrink and share: humanity's present and future ecological footprint
-
Kitzes, J., et al. Shrink and share: humanity's present and future ecological footprint. Philos. Trans. Royal Soc. B: Biol. Sci. 363:1491 (2008), 467–475.
-
(2008)
Philos. Trans. Royal Soc. B: Biol. Sci.
, vol.363
, Issue.1491
, pp. 467-475
-
-
Kitzes, J.1
-
51
-
-
84983746515
-
The emerging role of Big Data in key development issues: opportunities, challenges, and concerns
-
Kshetri, N., The emerging role of Big Data in key development issues: opportunities, challenges, and concerns. Big Data Soc., 1(2), 2014.
-
(2014)
Big Data Soc.
, vol.1
, Issue.2
-
-
Kshetri, N.1
-
52
-
-
75249096363
-
A review: the role of remote sensing in precision agriculture
-
Liaghat, S., Balasundram, S.K., A review: the role of remote sensing in precision agriculture. Am. J. Agric. Biol. Sci. 5:1 (2010), 50–55.
-
(2010)
Am. J. Agric. Biol. Sci.
, vol.5
, Issue.1
, pp. 50-55
-
-
Liaghat, S.1
Balasundram, S.K.2
-
53
-
-
84982822155
-
Analysis of Big Data technologies for use in agro-environmental science
-
Lokers, R., et al. Analysis of Big Data technologies for use in agro-environmental science. Environ. Model. Software 84 (2016), 494–504.
-
(2016)
Environ. Model. Software
, vol.84
, pp. 494-504
-
-
Lokers, R.1
-
54
-
-
84904315355
-
An international survey of aquaponics practitioners
-
Love, D.C., et al. An international survey of aquaponics practitioners. PLoS ONE, 9(7), 2014.
-
(2014)
PLoS ONE
, vol.9
, Issue.7
-
-
Love, D.C.1
-
55
-
-
3042598055
-
Applications of location analysis in agriculture: a survey
-
Lucas, M.T., Chhajed, D., Applications of location analysis in agriculture: a survey. J. Operational Res. Soc. 55:6 (2004), 561–578.
-
(2004)
J. Operational Res. Soc.
, vol.55
, Issue.6
, pp. 561-578
-
-
Lucas, M.T.1
Chhajed, D.2
-
56
-
-
84915785146
-
Machine learning for Big Data analytics in plants
-
Ma, C., Zhang, H.H., Wang, X., Machine learning for Big Data analytics in plants. Trends Plant Sci. 19:12 (2014), 798–808.
-
(2014)
Trends Plant Sci.
, vol.19
, Issue.12
, pp. 798-808
-
-
Ma, C.1
Zhang, H.H.2
Wang, X.3
-
57
-
-
63049113409
-
Applications of thermal imaging in agriculture–a review
-
Manickavasagan, A., Jayas, D.S., White, N., Paliwal, J., Applications of thermal imaging in agriculture–a review. Can. Soc. Eng. Agric. Food Biol. Syst., 5(2), 2005.
-
(2005)
Can. Soc. Eng. Agric. Food Biol. Syst.
, vol.5
, Issue.2
-
-
Manickavasagan, A.1
Jayas, D.S.2
White, N.3
Paliwal, J.4
-
58
-
-
0035499301
-
Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement
-
Marcot, B.G., et al. Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement. For. Ecol. Manage. 153:1 (2001), 29–42.
-
(2001)
For. Ecol. Manage.
, vol.153
, Issue.1
, pp. 29-42
-
-
Marcot, B.G.1
-
59
-
-
85167057257
-
Applying machine learning to agricultural data.
-
McQueen, R., Garner, S., C.G., N.-M., Witten, I.H., 1995. Applying machine learning to agricultural data. Compt. Electron. Agric., 12(1).
-
(1995)
Compt. Electron. Agric.
, vol.12
, Issue.1
-
-
McQueen, R.1
Garner, S.2
C.G.3
N.-M.4
Witten, I.H.5
-
60
-
-
1142290141
-
Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images
-
Meyer, G., Neto, J.C., Jones, D.D., Hindman, T.W., Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images. Comput. Electron. Agric. 42:3 (2004), 161–180.
-
(2004)
Comput. Electron. Agric.
, vol.42
, Issue.3
, pp. 161-180
-
-
Meyer, G.1
Neto, J.C.2
Jones, D.D.3
Hindman, T.W.4
-
61
-
-
67650854663
-
Data Mining in Agriculture, vol. 34
-
Springer Science & Business Media
-
Mucherino, A., Papajorgji, P., Pardalos, P., Data Mining in Agriculture, vol. 34. 2009, Springer Science & Business Media.
-
(2009)
-
-
Mucherino, A.1
Papajorgji, P.2
Pardalos, P.3
-
62
-
-
84960412878
-
Big and meta data management for U-agriculture mobile services
-
Nandyala, C.S., Kim, H.-K., Big and meta data management for U-agriculture mobile services. Int. J. Software Eng. Appl. (IJSEIA) 10:1 (2016), 257–270.
-
(2016)
Int. J. Software Eng. Appl. (IJSEIA)
, vol.10
, Issue.1
, pp. 257-270
-
-
Nandyala, C.S.1
Kim, H.-K.2
-
63
-
-
84923054501
-
Big data challenges in building the global earth observation system of systems
-
Nativi, S., et al. Big data challenges in building the global earth observation system of systems. Environ. Model. Software 68:1 (2015), 1–26.
-
(2015)
Environ. Model. Software
, vol.68
, Issue.1
, pp. 1-26
-
-
Nativi, S.1
-
64
-
-
85166995683
-
-
Open Agriculture Data Alliance. [Online] Available at: <> (accessed 2017).
-
OADA, 2014. Open Agriculture Data Alliance. [Online] Available at: < http://openag.io/> (accessed 2017).
-
(2014)
-
-
-
65
-
-
84858865606
-
Institutional innovations for small-holder farmers’ competitiveness in Africa
-
Oluoch-Kosura, W., Institutional innovations for small-holder farmers’ competitiveness in Africa. African J. Agric. Resource Econ. 5:1 (2010), 227–242.
-
(2010)
African J. Agric. Resource Econ.
, vol.5
, Issue.1
, pp. 227-242
-
-
Oluoch-Kosura, W.1
-
66
-
-
80051891221
-
Remote sensing of irrigated agriculture: opportunities and challenges
-
Ozdogan, M., Yang, Y., Allez, G., Cervantes, C., Remote sensing of irrigated agriculture: opportunities and challenges. Remote Sens. 2:9 (2010), 2274–2304.
-
(2010)
Remote Sens.
, vol.2
, Issue.9
, pp. 2274-2304
-
-
Ozdogan, M.1
Yang, Y.2
Allez, G.3
Cervantes, C.4
-
67
-
-
85166999878
-
-
Plantix. [Online] Available at: <> (accessed 2017).
-
PEAT UG, 2016. Plantix. [Online] Available at: < http://plantix.net/> (accessed 2017).
-
(2016)
-
-
PEAT UG1
-
68
-
-
0001772065
-
P. Aspects of precision agriculture.
-
Pierce, F.J., & N., P., 1999. Aspects of precision agriculture. Advances in agronomy, vol. 67, pp. 1–85.
-
(1999)
Advances in agronomy
, vol.67
, pp. 1-85
-
-
Pierce, F.J.N.1
-
69
-
-
14944382803
-
Combination of support vector machines (SVM) and near-infrared (NIR) imaging spectroscopy for the detection of meat and bone meal (MBM) in compound feeds
-
Pierna, J.A., et al. Combination of support vector machines (SVM) and near-infrared (NIR) imaging spectroscopy for the detection of meat and bone meal (MBM) in compound feeds. J. Chemom. 18:7–8 (2004), 341–349.
-
(2004)
J. Chemom.
, vol.18
, Issue.7-8
, pp. 341-349
-
-
Pierna, J.A.1
-
70
-
-
40949157501
-
Agricultural sustainability: concepts, principles and evidence
-
Pretty, J., Agricultural sustainability: concepts, principles and evidence. Philos. Trans. Royal Soc. London B: Biol. Sci. 363:1491 (2008), 447–465.
-
(2008)
Philos. Trans. Royal Soc. London B: Biol. Sci.
, vol.363
, Issue.1491
, pp. 447-465
-
-
Pretty, J.1
-
71
-
-
85030787558
-
Omics: Applications in Biomedical, Agriculture and Environmental Sciences, s.l.
-
CRC PressI Llc.
-
Rahman, H., Sudheer Pamidimarri, D., Valarmathi, R., Raveendran, M., Omics: Applications in Biomedical, Agriculture and Environmental Sciences, s.l. 2013, CRC PressI Llc.
-
(2013)
-
-
Rahman, H.1
Sudheer Pamidimarri, D.2
Valarmathi, R.3
Raveendran, M.4
-
72
-
-
85167028120
-
-
RIICE Partnership. Remote sensing-based Information and Insurance for Crops in Emerging economies. [Online] Available at: <> (accessed 2017).
-
RIICE Partnership, 2014. Remote sensing-based Information and Insurance for Crops in Emerging economies. [Online] Available at: < http://www.riice.org/> (accessed 2017).
-
(2014)
-
-
-
73
-
-
85010685216
-
To mulch or to munch? Big modelling of big data
-
Rodriguez, D., et al. To mulch or to munch? Big modelling of big data. Agric. Syst. 153 (2017), 32–42.
-
(2017)
Agric. Syst.
, vol.153
, pp. 32-42
-
-
Rodriguez, D.1
-
74
-
-
21444460280
-
A crop phenology detection method using time-series MODIS data
-
Sakamoto, T., et al. A crop phenology detection method using time-series MODIS data. Remote Sens. Environ. 96:3 (2005), 366–374.
-
(2005)
Remote Sens. Environ.
, vol.96
, Issue.3
, pp. 366-374
-
-
Sakamoto, T.1
-
75
-
-
85030763704
-
Organized data and information for efficacious agriculture using PRIDE model
-
Sawant, M., Urkude, R., Jawale, S., Organized data and information for efficacious agriculture using PRIDE model. Int. Food Agribusiness Manage. Rev., 19(A), 2016.
-
(2016)
Int. Food Agribusiness Manage. Rev.
, vol.19A)
-
-
Sawant, M.1
Urkude, R.2
Jawale, S.3
-
76
-
-
84878141258
-
Agricultural innovation to protect the environment
-
Sayer, J., Cassman, K., Agricultural innovation to protect the environment. Proc. Natl. Acad. Sci. U.S.A. 110:21 (2013), 8345–8348.
-
(2013)
Proc. Natl. Acad. Sci. U.S.A.
, vol.110
, Issue.21
, pp. 8345-8348
-
-
Sayer, J.1
Cassman, K.2
-
77
-
-
85061683486
-
MERRA analytic services: meeting the big data challenges of climate science through cloud-enabled climate analytics-as-a-service
-
Schnase, J.L., et al. MERRA analytic services: meeting the big data challenges of climate science through cloud-enabled climate analytics-as-a-service. Comput. Environ. Urban Syst., 2014.
-
(2014)
Comput. Environ. Urban Syst.
-
-
Schnase, J.L.1
-
78
-
-
85167059053
-
-
Infrastructure for data-driven agriculture: identifying management zones for cotton using statistical modeling and machine learning techniques. s.l., IEEE.
-
Schuster, E.W. et al., 2011. Infrastructure for data-driven agriculture: identifying management zones for cotton using statistical modeling and machine learning techniques. s.l., IEEE.
-
(2011)
-
-
Schuster, E.W.1
-
79
-
-
85007376693
-
Big data ethics and the digital age of agriculture
-
Schuster, J., Big data ethics and the digital age of agriculture. Am. Soc. Agric. Biol. Eng. 24:1 (2017), 20–21.
-
(2017)
Am. Soc. Agric. Biol. Eng.
, vol.24
, Issue.1
, pp. 20-21
-
-
Schuster, J.1
-
80
-
-
0026272518
-
Sustainable Agriculture: definitions and parameters for measurement
-
Senanayake, R., Sustainable Agriculture: definitions and parameters for measurement. J. Sustain. Agric. 1:4 (1991), 7–28.
-
(1991)
J. Sustain. Agric.
, vol.1
, Issue.4
, pp. 7-28
-
-
Senanayake, R.1
-
81
-
-
85167058151
-
-
SenseFly. Drone applications in agriculture. [Online] Available at: <> (accessed 2017).
-
SenseFly, 2012. Drone applications in agriculture. [Online] Available at: < https://www.sensefly.com/applications/agriculture.html> (accessed 2017).
-
(2012)
-
-
-
82
-
-
84912544750
-
Ecological views of big data: perspectives and issues
-
Shin, D.-H., Choi, M.J., Ecological views of big data: perspectives and issues. Telematics Inform. 32:2 (2015), 311–320.
-
(2015)
Telematics Inform.
, vol.32
, Issue.2
, pp. 311-320
-
-
Shin, D.-H.1
Choi, M.J.2
-
83
-
-
84963935784
-
Climate and famines: a historical reassessment
-
Slavin, P., Climate and famines: a historical reassessment. Wiley Interdiscipl. Rev.: Clim. Change 7:3 (2016), 433–447.
-
(2016)
Wiley Interdiscipl. Rev.: Clim. Change
, vol.7
, Issue.3
, pp. 433-447
-
-
Slavin, P.1
-
84
-
-
85053946874
-
Environmental performance evaluation with big data: theories and methods
-
Song, M.-L., Fisher, R., Wang, J.-L., Cui, L.-B., Environmental performance evaluation with big data: theories and methods. Ann. Oper. Res., 2016, 1–14.
-
(2016)
Ann. Oper. Res.
, pp. 1-14
-
-
Song, M.-L.1
Fisher, R.2
Wang, J.-L.3
Cui, L.-B.4
-
85
-
-
85018338553
-
Big data: fueling the next evolution of agricultural innovation
-
Sonka, S., Big data: fueling the next evolution of agricultural innovation. J. Innovation Manage. 4:1 (2016), 114–136.
-
(2016)
J. Innovation Manage.
, vol.4
, Issue.1
, pp. 114-136
-
-
Sonka, S.1
-
86
-
-
85030776911
-
Big data in agriculture: property rights, privacy and competition in Ag data services
-
Sykuta, M.E., Big data in agriculture: property rights, privacy and competition in Ag data services. Int. Food Agribusiness Manage. Rev. Special Issue, 19(A), 2016.
-
(2016)
Int. Food Agribusiness Manage. Rev. Special Issue
, vol.19A)
-
-
Sykuta, M.E.1
-
87
-
-
85166999558
-
-
Syngenta Foundation for Sustainable Agriculture. FarmForce. [Online] Available at: <> [accessed 2017].
-
Syngenta Foundation for Sustainable Agriculture, 2016. FarmForce. [Online] Available at: < http://www.farmforce.com/> [accessed 2017].
-
(2016)
-
-
-
88
-
-
85167020071
-
-
Syngenta. Syngenta Foundation for Sustainable Agriculture: Kilimo Salama – An agricultural insurance initiative. [Online] Available at: <> (accessed 2017).
-
Syngenta, 2010. Syngenta Foundation for Sustainable Agriculture: Kilimo Salama – An agricultural insurance initiative. [Online] Available at: < https://kilimosalama.wordpress.com/about/> (accessed 2017).
-
(2010)
-
-
-
90
-
-
85021318536
-
Targeting drought-tolerant maize varieties in southern Africa: a geospatial crop modeling approach using big data
-
Tesfaye, K., et al. Targeting drought-tolerant maize varieties in southern Africa: a geospatial crop modeling approach using big data. Int. Food Agribusiness Manage. Rev. 19(A) (2016), 1–18.
-
(2016)
Int. Food Agribusiness Manage. Rev.
, vol.19A)
, pp. 1-18
-
-
Tesfaye, K.1
-
91
-
-
70449436485
-
Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium
-
Thenkabail, P., et al. Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium. Int. J. Remote Sens. 30:14 (2009), 3679–3733.
-
(2009)
Int. J. Remote Sens.
, vol.30
, Issue.14
, pp. 3679-3733
-
-
Thenkabail, P.1
-
92
-
-
36649033114
-
Spectral matching techniques to determine historical land-use/land-cover (LULC) and irrigated areas using time-series 0.1-degree AVHRR Pathfinder datasets
-
Thenkabail, P., et al. Spectral matching techniques to determine historical land-use/land-cover (LULC) and irrigated areas using time-series 0.1-degree AVHRR Pathfinder datasets. Photogram. Eng. Remote Sens. 73:10 (2007), 1029–1040.
-
(2007)
Photogram. Eng. Remote Sens.
, vol.73
, Issue.10
, pp. 1029-1040
-
-
Thenkabail, P.1
-
93
-
-
85167020738
-
-
Thomson Reuters. Web of Science. [Online] Available at: <> (accessed 2017).
-
Thomson Reuters, 2017. Web of Science. [Online] Available at: < http://www.webofknowledge.com/> (accessed 2017).
-
(2017)
-
-
-
94
-
-
33750018142
-
Downscaling of precipitation for climate change scenarios: a support vector machine approach
-
Tripathi, S., Srinivas, V.V., Nanjundiah, R.S., Downscaling of precipitation for climate change scenarios: a support vector machine approach. J. Hydrol. 330:3 (2006), 621–640.
-
(2006)
J. Hydrol.
, vol.330
, Issue.3
, pp. 621-640
-
-
Tripathi, S.1
Srinivas, V.V.2
Nanjundiah, R.S.3
-
95
-
-
84991463631
-
Towards a second green revolution
-
Tyagi, A.C., Towards a second green revolution. Irrigation Drainage 65:4 (2016), 388–389.
-
(2016)
Irrigation Drainage
, vol.65
, Issue.4
, pp. 388-389
-
-
Tyagi, A.C.1
-
96
-
-
34347379313
-
Using data mining techniques to predict industrial wine problem fermentations
-
Urtubia, A., Perez-Correa, J., Soto, A., Pszczolkowski, P., Using data mining techniques to predict industrial wine problem fermentations. Food Control 18:1 (2007), 1512–1517.
-
(2007)
Food Control
, vol.18
, Issue.1
, pp. 1512-1517
-
-
Urtubia, A.1
Perez-Correa, J.2
Soto, A.3
Pszczolkowski, P.4
-
97
-
-
84890849596
-
Applications of image processing in agriculture: a survey
-
Vibhute, A., Bodhe, S.K., Applications of image processing in agriculture: a survey. Int. J. Comput. Appl., 52(2), 2012.
-
(2012)
Int. J. Comput. Appl.
, vol.52
, Issue.2
-
-
Vibhute, A.1
Bodhe, S.K.2
-
98
-
-
84910036454
-
Web technologies for environmental Big Data
-
Vitolo, C., et al. Web technologies for environmental Big Data. Environ. Model. Software 63:1 (2015), 185–198.
-
(2015)
Environ. Model. Software
, vol.63
, Issue.1
, pp. 185-198
-
-
Vitolo, C.1
-
99
-
-
84955254844
-
Environmental conditions’ big data management and cloud computing analytics for sustainable agriculture
-
Waga, D., Rabah, K., Environmental conditions’ big data management and cloud computing analytics for sustainable agriculture. World J. Comput. Appl. Technol. 2:3 (2014), 73–81.
-
(2014)
World J. Comput. Appl. Technol.
, vol.2
, Issue.3
, pp. 73-81
-
-
Waga, D.1
Rabah, K.2
-
100
-
-
84964511066
-
Analysis of multitemporal and multisensor remote sensing data for crop rotation mapping
-
Waldhoff, G., Curdt, C., Hoffmeister, D., Bareth, G., Analysis of multitemporal and multisensor remote sensing data for crop rotation mapping. Int. Arch. Photogram., Remote Sens. Spatial Inform. Sci. 25:1 (2012), 177–182.
-
(2012)
Int. Arch. Photogram., Remote Sens. Spatial Inform. Sci.
, vol.25
, Issue.1
, pp. 177-182
-
-
Waldhoff, G.1
Curdt, C.2
Hoffmeister, D.3
Bareth, G.4
-
101
-
-
34247523027
-
Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains
-
Wardlow, B.D., Egbert, S.L., Kastens, J.H., Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains. Remote Sens. Environ. 108:3 (2007), 290–310.
-
(2007)
Remote Sens. Environ.
, vol.108
, Issue.3
, pp. 290-310
-
-
Wardlow, B.D.1
Egbert, S.L.2
Kastens, J.H.3
-
102
-
-
84971221462
-
A survey on metaheuristics for optimization in food manufacturing industry
-
Wari, E., Zhu, W., A survey on metaheuristics for optimization in food manufacturing industry. Appl. Soft Comput. 46 (2016), 328–343.
-
(2016)
Appl. Soft Comput.
, vol.46
, pp. 328-343
-
-
Wari, E.1
Zhu, W.2
-
103
-
-
84892050370
-
Internet of Things
-
Springer New York, NY
-
Weber, R.H., Weber, R., Internet of Things. 2010, Springer, New York, NY.
-
(2010)
-
-
Weber, R.H.1
Weber, R.2
-
104
-
-
85011824717
-
Big data in smart farming – a review
-
Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M., Big data in smart farming – a review. Agric. Syst. 153 (2017), 69–80.
-
(2017)
Agric. Syst.
, vol.153
, pp. 69-80
-
-
Wolfert, S.1
Ge, L.2
Verdouw, C.3
Bogaardt, M.4
-
105
-
-
84881406284
-
Big Data, Big Impact: New Possibilities for International Development
-
World Economic Forum Geneva, Switzerland
-
World Economic Forum, Big Data, Big Impact: New Possibilities for International Development. 2012, World Economic Forum, Geneva, Switzerland.
-
(2012)
-
-
World Economic Forum1
-
106
-
-
85167067391
-
-
Big Data Meet Green Challenges: Big Data Toward Green Applications, s.l.: s.n.
-
Wu, J., Guo, S., Li, J., Zeng, D., 2016. Big Data Meet Green Challenges: Big Data Toward Green Applications, s.l.: s.n.
-
(2016)
-
-
Wu, J.1
Guo, S.2
Li, J.3
Zeng, D.4
-
107
-
-
84865430209
-
Opening the archive: how free data has enabled the science and monitoring promise of Landsat
-
Wulder, M., et al. Opening the archive: how free data has enabled the science and monitoring promise of Landsat. Remote Sens. Environ. 122:1 (2012), 2–10.
-
(2012)
Remote Sens. Environ.
, vol.122
, Issue.1
, pp. 2-10
-
-
Wulder, M.1
-
108
-
-
84868629775
-
The application of small unmanned aerial systems for precision agriculture: a review
-
Zhang, C., Kovacs, J.M., The application of small unmanned aerial systems for precision agriculture: a review. Precision Agric. 13:6 (2012), 693–712.
-
(2012)
Precision Agric.
, vol.13
, Issue.6
, pp. 693-712
-
-
Zhang, C.1
Kovacs, J.M.2
|