Journal Home Online First Current Issue Archive For Authors Journal Information 中文版

Strategic Study of CAE >> 2018, Volume 20, Issue 6 doi: 10.15302/J-SSCAE-2018.06.009

Foresight of Disruptive Technologies in Agricultural Engineering

1. Institute of Animal Science, China Academy of Agricultural Sciences, Beijing 100193, China;

2. China Agricultural University, Beijing 100193, China

Funding project:CAE Advisory Project “Strategic Research on Disruptive Technologies for Engineering Science and Technology” (2017-ZD-10) Received: 2018-10-25 Revised: 2018-10-31 Available online: 2018-12-31

Next Previous

Abstract

This study was the preliminary results of the "Research on Disruptive Technologies in the Agricultural Field" under the Consulting Research Project of the Chinese Academy of Engineering. Our report mainly focused on those active fields in current and future technological innovations including agricultural biotechnology, agricultural information technology and nanomaterial technology. Specifically, five critical directions were investigated in the report, consisting of animal and plant breeding, agricultural biotech medicine and bio-fertilizer, agricultural biomass engineering, intelligent agricultural technology, and non-traditional planting space. Through the analysis of conferences, patents, interviews, and literatures, the development directions of disruptive technology in the agricultural field were suggested. Hopefully, our results can provide references for the development investment of the government and enterprises as well as research directions of scientists.

References

[ 1 ] Food and Agriculture Organization of the United Nations. World agriculture towards 2030/2050 [R]. New York: Food and Agriculture Organization of the United Nations, 2012.

[ 2 ] Hickey J M, Chiurugwi T, Mackay I, et al. Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery [J]. Nature Genetics, 2017, 49: 1297–1303. link1

[ 3 ] Liu X, Wang Y S, Guo W J, et al. Zinc-finger nickase-mediated insertion of the lysostaphin gene into the beta-casein locus in cloned cows [J]. Nature Communications, 2013, 4(2565): 1–11. link1

[ 4 ] Wu H B, Wang Y S, Zhang Y, et al. TALE nickase-mediated SP110 knockin endows cattle with increased resistance to tuberculosis [J]. Proceedings of the National Academy of Sciences, 2015, 112(13): 1530–1539. link1

[ 5 ] Gao Y P, Wu H B, Wang Y S, et al. Single Cas9 nickase induced generation of NRAMP1 knockin cattle with reduced off target effects [J]. Genome Biology, 2017, 18(13): 1–15. link1

[ 6 ] Bogliotti Y S, Wu J, Vilarino M, et al. Efficient derivation of stable primed pluripotent embryonic stem cells from bovine blastocysts [J]. Proceedings of the National Academy of Sciences, 2018, 115(9): 2090–2095. link1

[ 7 ] Li H W, Wang R J, Wang Z Y, et al. The research progress of genomic selection in livestock [J]. Hereditas, 2017, 39(5): 377– 387. Chinese. link1

[ 8 ] Office of the President of the White House. Executive order of developing and promoting biobased products and bioenergy [R]. Washington DC: Office of the President of the White House, 1999.

[ 9 ] Shi Y C. Biomass: To win the future (Second edition) [M]. Beijing: China Agricultural University Press, 2013. Chinese.

[10] Chinese Academy of Engineering. Report on key technologies development, demonstration, and application of biofuels industry for transportation in China [R]. Beijing: Chinese Academy of Engineering, 2014. Chinese.

[11] World Bioenergy Association. World biomass energy statistics report 2014 [R]. New York: World Bioenergy Association, 2014.

[12] Ministry of Agriculture of the PRC. National agricultural and rural informatization development plan for the “13th Five-Year” period [R]. Beijing: Ministry of Agriculture of the PRC, 2016. Chinese.

[13] Li D L, Yang H. State-of-the-art review for Internet of things in agriculture [J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(1): 1–20. Chinese. link1

[14] Duan Q L, Liu Y R, Zhang L, et al. State-of-the-art review for application of big data technology in aquaculture [J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(6): 1–16. Chinese. link1

[15] Zhao C J. Artificial intelligence leads agriculture into a new era [J]. China Rural Science & Technology, 2018 (1): 29–31. Chinese. link1

[16] Li D L. Agriculture 4.0—The coming era of intelligent agriculture [M]. Beijing: Machinery Industry Press, 2018. Chinese. link1

[17] Li J Y. “Spanning 2030” agricultural science and technology development strategy [M]. Beijing: China Agricultural Science and Technology Publishing House, 2016. Chinese.

[18] Gao N, Hua C, Zhu S X, et al. A preliminary study on the strategic system of agricultural urbanism—Brief analysis of the study of Rotterdam Urban Agricultural Space in the Netherlands [J]. Urban Planning International, 2013, 28 (1): 74–79. Chinese. link1

[19] Neena M, Elizabeth A W, Karl E R, et al. Clay nanosheets for topical delivery of RNAi for sustained protection against plant viruses [J]. Nature Plants, 2017, 3: 16207. link1

[20] James A B, Thierry B, William C, et al. Control of coleopteran insect pests through RNA interference [J]. Nature Biotechnology, 2007, 25: 1322–1326. link1

[21] Yi Z F, Hashmath I H, Feng C F, et al. Functionalized mesoporous silica nanoparticles with redox responsive short-chain gatekeepers for agrochemical delivery [J]. ACS Applied Materials and Interfaces, 2015, 7: 9937–9946. link1

[22] Si L, Xu H, Zhou X, et al. Generation of influenza A viruses as live but replication-incompetent virus vaccines [J]. Science, 2016, 354(6316): 1170–1173. link1

[23] Xu L, Xiang J, Liu Y, et al. Functionalized graphene oxide serves as a novel vaccine nano-adjuvant for robust stimulation of cellular immunity [J]. Nanoscale, 2016, 8(6): 3785–3795. link1

[24] Peleteiro M, Presas E, González-Aramundiz J V, et al. Polymeric nanocapsules for vaccine delivery: Influence of the polymeric shell on the interaction with the immune system [J]. Frontiers in Immunology, 2018, 9: 791–799. link1

[25] Peiffer J A, Spor A, Koren O, et al. Diversity and heritability of the maize rhizosphere microbiome under field conditions [J]. Proceedings of the National Academy of Sciences, 2013, 110: 6548–6553. link1

[26] Edwards J, Johnson C, Santos-Medellín C, et al. Structure, variation, and assembly of the root-associated microbiomes of rice [J]. Proceedings of the National Academy of Sciences, 2015, 112: 911–920. link1

[27] Pieterse C M, de Jonge R, Berendsen R L. The soil-borne supremacy [J]. Trends in Plant Science, 2016, 21: 171–173. link1

[28] Hu L, Ren W, Tang J, et al. The productivity of traditional rice–fish co-culture can be increased without increasing nitrogen loss to the environment [J]. Agriculture Ecosystems & Environment, 2013, 177(2): 28–34. link1

[29] Andrew J R, Jeffrrey M L. Comparing salinities of 10, 20, and 30‰ in minimal-exchange, intensive shrimp (Litopenaeus vannamei) culture systems [J]. Aquaculture, 2017, 476(1): 29–36.

[30] Yan B, Wang X, Cao M. Effects of salinity and temperature on survival, growth, and energy budget of juvenile Litopenaeus vannamei [J]. Journal of Shellfish Research, 2007, 26(4): 141–146. link1

Related Research