Even Sharper Bounds for Transductive Learning and Its Applications
Yingzhen Yang
We introduce Sharper Transductive Local Complexity (STLC), a localized complexity method for transductive learning under uniform sampling without replacement.
arXiv→Monolith 03
Precision farming intelligence for South Asian crops. Climate modeling for the agricultural systems that feed 2 billion people.
Phase 01 active. First live pilot deployment: within 6 months of launch.
Official partnership with the Sri Lanka Department of Agriculture.
First live pilot deployment: within 6 months of site launch.
Live from the frontier
Questions
The Advanced Agriculture laboratory focuses initially on rice, tea, and coconut — Sri Lanka's primary agricultural exports and food crops. The first live pilot is a rice-yield prediction model for the North Central Province, the country's main paddy-growing region.
Yes. The partnership with the Sri Lanka Department of Agriculture is an active data-sharing relationship. DOA provides historical yield data, soil classification maps, and field-trial data; ASI Research Lab provides research outputs the DOA can deploy through its extension services.
Sri Lanka's agricultural land is covered by the free Sentinel-2 (ESA) and Landsat-9 (NASA) programs. NDVI and derivative indices from this multispectral imagery provide reliable early indicators of crop stress, converted into field-level alerts through an automated processing pipeline.
The first live pilot deployment is targeted within six months of site launch: a rice-yield prediction model for the North Central Province. The scope is deliberately narrow, specific, and achievable.
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Yingzhen Yang
We introduce Sharper Transductive Local Complexity (STLC), a localized complexity method for transductive learning under uniform sampling without replacement.
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