Are Indonesian rice farmers ready to adopt precision agricultural technologies?-Reference-Cited by-同舟云学术

Are Indonesian rice farmers ready to adopt precision agricultural technologies?

Published:2024-06-14 Issue:4 Volume:25 Page:2113-2139
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Santoso Agung B.^ORCID,Ulina Evawaty S.,Batubara Siti F.,Chairuman Novia,Sudarmaji ,Indrasari Siti D.,Pustika Arlyna B.,Sutrisna Nana,Surdianto Yanto,Rahmini ,Aryati Vivi,Manurung Erpina D.,Purba Hendri F. P.,Senoaji Wasis,Kotta Noldy R. E.,Parhusip Dorkas,Widihastuty ,Mugiasih Ani,Lumban Tobing Jeannette M.

Funder

Kementerian Riset dan Teknologi /Badan Riset dan Inovasi Nasional

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11119-024-10156-7.pdf

Reference109 articles.

1. Adrian, A. M., Norwood, S. H., & Mask, P. L. (2005). Producers’ perceptions and attitudes toward precision agriculture technologies. Computers and Electronics in Agriculture, 48(3), 256–271. https://doi.org/10.1016/J.COMPAG.2005.04.004.

2. Akhter, R., & Sofi, S. A. (2022). Precision agriculture using IoT data analytics and machine learning. Journal of King Saud University - Computer and Information Sciences, 34(8), 5602–5618. https://doi.org/10.1016/J.JKSUCI.2021.05.013.

3. Amarnath, G., Simons, G., Alahacoon, N., Smakhtin, V., Sharma, B., Gismalla, Y., Mohammed, Y., & Andriessen, M. (2018). Using smart ICT to provide weather and water information to smallholders in Africa: The case of Gash River Basin, Sudan. Climate Risk Management, 22, 52–66. https://doi.org/10.1016/j.crm.2018.10.001.

4. Amrullah, E. R., & Pullaila, A. (2020). The impact of combine harvester on loss of rice yields in Banten Province). Jurnal Agro Ekonomi, 37(2), 113. https://doi.org/10.21082/jae.v37n2.2019.113-122(in Indonesian).

5. Annosi, C. M., Brunetta, F., Monti, A., & Nati, F. (2019). Is the trend your friend? An analysis of technology 4.0 investment decisions in agricultural SMEs. Computers in Industry 109 (2019)59–71. https://doi.org/10.1016/j.compind.2019.04.003.