Claim · model-written summary
Recommended irrigation did not produce a statistical difference in marketable tomato number or weight.
- Taxon
- tomato
Solanum lycopersicume0 - Treatment
- recommended irrigation strategye0
- Outcome
- number of marketable tomatoese0
- Direction
- no statistical differencese0
- Comparator
- farmer's existing methode0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“In the tomato demonstration field, there were no statistical differences in the number of marketable tomatoes ( p = 0.382) and their weights ( p = 0.756) between the farmer's existing method and the recommended irrigation strategy”
Title
Implementation of an in-field IoT system for precision irrigation management
Younsuk Dong; Benjamin Werling; Zhichao Cao; et al. Frontiers in Water 2024. doi:10.3389/frwa.2024.1353597
Other claims from this paper (6)
- Method / resource Calibrated sensors met statistical criteria in sand.
- Method / resource Calibrated sensors met statistical criteria in loamy sand.
- Method / resource The sensor station detected overirrigation in some sandy fields using drip irrigation.
- Intervention effect Recommended irrigation increased blueberry total yield per plant.
- Intervention effect Recommended irrigation increased blueberry 50-berry weight.
- Intervention effect Recommended irrigation received 30% less water.