Claim · model-written summary
The authors consider Sensor-based scheduling promising for water and financial savings, pending further research.
- Taxon
- Corn
Zea mays subsp. mayst0 - Treatment
- Sensor-based methode0
- Outcome
- water and financial savingse0
- Qualifier
- more research is requirede0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The Sensor-based method seems a promising strategy that could result in water and financial savings, but more research is required”
t0“Corn”
Title
Irrigation Scheduling to Promote Corn Productivity in Central Alabama
Jose F. Da Cunha Leme Filho; Brenda V. Ortiz; Damianos Damianidis; et al. Journal of Agricultural Science 2020. doi:10.5539/jas.v12n9p34
Other claims from this paper (7)
- Intervention effect In 2014 zone A, Checkbook grain yield exceeded Sensor-based yield significantly.
- Intervention effect Checkbook irrigation in zone A applied 148 mm more than Sensor-based irrigation.
- Intervention effect In 2014 zone B, Sensor-based yield exceeded Checkbook yield without a significant difference.
- Intervention effect Checkbook irrigation in zone B applied 102 mm more irrigation.
- Observation In 2015, Checkbook grain yield did not differ significantly between zones A and B.
- Observation In 2015, Sensor-based yield in zone A significantly exceeded zone B.
- Intervention effect Sensor-based and Checkbook irrigation produced similar total profit per hectare across seasons.