Sparse regression uncovered causal relationships between remotely sensed variables (NDVI, precipitation, temperature) and agricultural yield of paddy rice across regions of Peru.

Claim · model-written summary

Sparse regression uncovered causal relationships between remotely sensed variables (NDVI, precipitation, temperature) and agricultural yield of paddy rice across regions of Peru.

Taxon

paddy ricet0

Outcome

agricultural yielde0

Setting

Perue1

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionValueQualifier

Verbatim

t0

“paddy rice”

e0

“the study uncovers causal relationships between key remotely sensed variables such as Normalized Difference Vegetation Index (NDVI), precipitation (PREC), temperature (TEMP), and agricultural yield”

e1

“across the different regions of Peru”