{"payload":{"header_redesign_enabled":false,"results":[{"id":"644603401","archived":false,"color":"#DA5B0B","followers":16,"has_funding_file":false,"hl_name":"association-rosia/crop-forecasting","hl_trunc_description":"Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information …","language":"Jupyter Notebook","mirror":false,"owned_by_organization":true,"public":true,"repo":{"repository":{"id":644603401,"name":"crop-forecasting","owner_id":134450894,"owner_login":"association-rosia","updated_at":"2024-04-16T20:33:42.115Z","has_issues":true}},"sponsorable":false,"topics":["deep-learning","satellite-imagery","agricultural-modelling","meteorological-data","multimodal-deep-learning","agriculture-data","microsoft-planetary-computer","2023-ey-open-science-data-challenge","crop-forecasting"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":91,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Aassociation-rosia%252Fcrop-forecasting%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/association-rosia/crop-forecasting/star":{"post":"5lnKZjNdmG8X6vJ2TmYsg4SCH_xOAPnejoggNwknhoAelcq_kX6_cm9eqUqYm-cLp03ynzCzMW9bWROdy2IwPA"},"/association-rosia/crop-forecasting/unstar":{"post":"dgrPd41_NgHwWDpp5MYHZ9Q3-LMLlFkVOx73JR7GKC0rjnFkCZeedl1Hob9unUOLwG7lo03aVULGOKhC3POxIA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"vPnNhXMGjyyFTC71mfJvE_sRTbqBjWBVigdBXVjDl39wkLryHaw15F6Yr2g7l08mOHqn3ZNWEmOOcAitY_zseQ"}}},"title":"Repository search results"}