Agriculture AI Training Datasets — Vernacular & Field-Collected
Agri AI is useless if it only works in English text. Our agriculture datasets are field-collected in the languages farmers actually speak: vernacular advisory speech, crop and pest imagery, and real farmer queries across India's languages and dialects — consented and provenance-tagged.
Agriculture datasets in the catalog
Showing 0 of 41 datasets.
No published datasets here yet
We don't have an off-the-shelf Agriculture dataset published yet — but we build them to spec. Tell us what you need and we'll collect or annotate it, rights-cleared and documented.
Services & industry for Agriculture
When the data you need doesn't exist yet, we build it — collection, annotation, alignment and evaluation, all rights-cleared and documented.
Multilingual Data Collection
Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.
Explore the serviceData Annotation
Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.
Explore the serviceCultural & Cross-Lingual Evaluation
Evaluation for honorifics, code-mix, idioms, caste-safety and pragmatic correctness — beyond translated MMLU.
Explore the serviceAgriculture industry
Vernacular agri-advisory speech, crop & pest imagery and farmer-query data — collected in the field for agritech AI that reaches real farmers.
Explore the industryCommon questions
- Can you collect agriculture data in specific languages and regions?
Yes. We run consented field operations targeted to the languages, dialects, crops and regions you serve, with provenance tagged per record.
- Do the agriculture datasets include imagery?
Yes — region-specific crop and pest imagery with bounding boxes, segmentation and disease/pest labels alongside vernacular speech and query data.
Need Agriculture data your model can train on?
License what's in the catalog, or tell us exactly what you need — we build proprietary, rights-cleared datasets to spec, with India data residency.