Skip to content
brianletort.aiD. Brian Letort, Ph.D.

AI Transformation Library

See how AI changes the work.

105 real-world cases. What changed, what improved, and where people still decide.

CardsTable

3 cases

1–3

An editorial scene for John Deere (Deere & Company) contrasts decides the post-emergence herbicide programme for the field based on expected weed pressure across the whole area. with sets the spray threshold that determines how aggressively detected plants are treated as weeds. in the in-season post-emergence herbicide application (see & spray targeted spraying) workflow.

John Deere (Deere & Company)

mixed evidence

59% average herbicide savings

OtherAgriculture
An editorial scene for Wadhwani AI CottonAce partner programs contrasts inspect fields and decide pesticide timing from experience, visible damage, or calendar practice. with checks pheromone traps weekly and uploads smartphone images. in the ai-counted pink-bollworm traps and threshold-based spray advisories workflow.

Wadhwani AI CottonAce partner programs

verified evidence

Up to 22% higher income in the first-year evaluations; no significant benefit in the 2021-2022 multi-state experiment

OtherAgriculture
An editorial scene for PlantVillage, FAO, IITA, CIMMYT, and partner extension programs contrasts inspect visible leaf symptoms using personal knowledge. with scans multiple leaves with an android phone in the field without internet. in the plantvillage nuru offline smartphone diagnosis workflow.

PlantVillage, FAO, IITA, CIMMYT, and partner extension programs

verified evidence

Nuru 65% in 2020; 74-88% when six leaves per plant were assessed

AgricultureAgriculture
Curated collections →Evidence methodologyPublication history
Transformations | Brian Letort