Method / resourcemodel-written summary

GreenSeeker NDVI reading predicted grain yield in Kirinyaga with R2 0.31-0.64.

A claim from Prediction of Maize Yields from In-Season GreenSeeker Normalized Difference Vegetation Index and Dry Biomass as Influenced by Different Nutrient Combinations · 2020

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

GreenSeeker NDVI reading predicted grain yield in Kirinyaga with R2 0.31-0.64.

Taxon
MaizeZea mayst0
Outcome
grain yielde0
Value
0.31-0.64e0
Qualifier
GreenSeeker NDVI readinge0
Setting
Kirinyagae0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“Prediction of Maize Yields from In-Season GreenSeeker Normalized Difference Vegetation Index and Dry Biomass as Influenced by Different Nutrient Combinations”

✓ located verbatim in the source · title, characters 0–157
e0

“The GreenSeeker NDVI reading with grain yield and aboveground dry biomass with grain yield recorded R2 ranging from 0.23-0.53 and 0.30-0.61 (in Embu), and 0.31-0.64 and 0.30-0.50 (in Kirinyaga), respectively.”

✓ located verbatim in the source · abstract, characters 928–1136

Title

Prediction of Maize Yields from In-Season GreenSeeker Normalized Difference Vegetation Index and Dry Biomass as Influenced by Different Nutrient Combinations

Hillary M. O. Otieno; George N. Chemining’wa; Shamie Zingore Journal of Agricultural Science 2020. doi:10.5539/jas.v13n1p165

Other claims from this paper (19)

Record rev-d5d95e75d9c704be6faa666a0f587223a2982e2ce9882636bba56a27ac7be1b5 · schema claims-v0.9 · position 17 in the model’s answer