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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Smart Agriculture and AI
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

930 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
930 works in the cohort · of 4,299,418page 3 of 19

Labels cover 1 of 930 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 930 of 930 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
EM-ERNet for image-based banana disease recognition
Haifei Lin, Aibin Chen, Jiayong Li, Mingxuan Li, Wenzhuo Zhang, Yahui Hu +1 more
2021· article· en· Journal of Food Measurement & Characterization· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
33
citations
affunlabeled
SIMULTANEOUS ASSESSMENT OF COTTON YIELD MONITOR
George Vellidis, Calvin D. Perry, Glen C. Rains, Daniel L. Thomas, N. Wells, C. K. Kvien
2003· article· en· Applied Engineering in Agriculture· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Precision Agriculture
Latief Ahmad, Gazi Mohammad Shoaib Shah, Asim Biswas
2024· book-chapter· en· Agricultural and Biological Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
31
citations
affno abstractunlabeled
Wheat spike localization and counting via hybrid UNet architectures
Amirhossein Zaji, Zheng Liu, Gaozhi Xiao, Pankaj Bhowmik, Jatinder S. Sangha, Yuefeng Ruan
2022· article· en· Computers and Electronics in Agriculture· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
30
citations
fundno affunlabeled
AgDataBox API – Integration of data and software in precision agriculture
Cláudio Leones Bazzi, Ermínio Pita Jasse, Paulo Sérgio Graziano Magalhães, Gabriela Karoline Michelon, Eduardo Godoy de Souza, Kelyn Schenatto +1 more
2019· article· en· SoftwareX· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Modeling and Monitoring Crop Disease in Developing Countries
John A. Quinn, Kevin Leyton‐Brown, Ernest Mwebaze
2011· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
26
citations
afffundno abstractunlabeled
AutoOLA: Automatic object level augmentation for wheat spikes counting
Amirhossein Zaji, Zheng Liu, Gaozhi Xiao, Pankaj Bhowmik, Jatinder S. Sangha, Yuefeng Ruan
2023· article· en· Computers and Electronics in Agriculture· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About