The next generation of Precision Horticulture Technologies

2019, Volume 4, Issue 1: 111-113. doi: 10.3934/agrfood.2019.1.111

Previous Article Next Article

Editorial Special Issues

1.
Edisto Research & Education Center, Clemson University, 64 Research Road, Blackville, SC 29817, USA
2.
University of Arkansas System – CES, 2301 S. University Avenue, Little Rock, AR 72204, USA

Received: 18 January 2019 Accepted: 18 January 2019 Published: 22 January 2019

Citation: Joe Mari J. Maja, James Robbins. The next generation of Precision Horticulture Technologies[J]. AIMS Agriculture and Food, 2019, 4(1): 111-113. doi: 10.3934/agrfood.2019.1.111

Related Papers:

[1]	Peña JM, de Castro, AI, Torres-Sánchez J, et al. (2018) Estimating tree height and biomass of a poplar plantation with image-based UAV technology. AIMS Agriculture and Food 3: 313–326. doi: 10.3934/agrfood.2018.3.313
[2]	Gómez C, Izzo LG (2018) Increasing efficiency of crop production with LEDs. AIMS Agriculture and Food 3: 135–153. doi: 10.3934/agrfood.2018.2.135
[3]	Posadas BC (2018) Socioeconomic determinants of the level of mechanization of nurseries and greenhouses in the southern United States. AIMS Agriculture and Food 3: 229–245. doi: 10.3934/agrfood.2018.3.229
[4]	Maja JM, Robbins J (2018) Controlling irrigation in a container nursery using IoT. Agriculture and Food 3: 205–215.

Reader Comments

Your name:*

Email:*
© 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)