# BSE 405: Artificial Intelligence in Agriculture | UW–Madison [View on UW Courses](https://uwcourses.com/courses/BSE_405) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57 ### course id BSE 405 ### course uid course\_8a92316192bfc8e9be89f373 ### catalog version id 94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185 ### course number 405 ### subjects * BSE ### title ARTIFICIAL INTELLIGENCE IN AGRICULTURE ### description Provides an understanding of how cutting-edge Artificial Intelligence (AI) technologies revolutionize and optimize various aspects of the agricultural sector. Covers topics related to advanced sensors for data acquisition, data processing and visualization, and machine learning models to inform agricultural decision making. Introduces both theoretical concepts and practical insights into real-world AI implementation in agriculture. ### requirements text BSE 380,COMP SCI 220,300, or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 06bc2f0448ec1166b884839966ab0b54f414fab48ead0f03b09cf032f59f9143 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary BSE 405 teaches AI technologies for agricultural optimization, covering sensors, data processing, and machine learning. ### llm topics * Sensors, data processing, visualization, and machine learning models. ### llm skills * Data acquisition, processing, visualization, and machine learning for agriculture. ### llm assumed background * Programming proficiency in Python and object-oriented design, plus data science fundamentals. * Foundational chemistry and mathematics. ### llm search phrases * AI agriculture * machine learning crops * agricultural data science * BSE 405 artificial intelligence ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 0ef973967264239cd4c0ec332e2fb91c36421f265eb4e8d6aa9b0c7ce8f1326d #### course id BSE 405 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.54 GPA, 85.7% A/AB (n=14 letter grades); Spring 2025: 3.71 GPA, 90.5% A/AB (n=21 letter grades); Spring 2026: 3.74 GPA, 100.0% A/AB (n=35 letter grades). ```json { "citations": [ { "course_id": "BSE 405", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b4643902-2cc9-3754-a133-88ebaf94aa8c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "BSE 405", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b4643902-2cc9-3754-a133-88ebaf94aa8c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "BSE 405", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "b4643902-2cc9-3754-a133-88ebaf94aa8c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "BSE 380,COMP SCI 220,300, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 380, "minimum_grade": null, "subjects": [ "BSE" ], "timing": "prior" }, "evidence": "BSE 380", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 220, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "COMP SCI 220", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 300, "minimum_grade": null, "subjects": [ "COMPSCI" ], "timing": "prior" }, "evidence": "300", "id": "n3", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_0cfe6a00a5217d4fc289efb9", "source": "madgrades", "source_instructor_id": "5162668", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHOU ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.63, "graded": 193, "counts": [ 83, 94, 10, 3, 0, 2, 1 ], "sections": 33 }, "instructor_url": "/instructors/ZHOU_ZHANG--instructor_0cfe6a00a5217d4fc289efb9" }, { "instructor_uid": "instructor_325e4743fce02e5c4e341049", "source": "madgrades", "source_instructor_id": "800668", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL STOY", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 4, "quality": 5, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:2682732", "source_url": "https://www.ratemyprofessors.com/professor/2682732", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:20.342075+00:00", "courses": { "course_eed3c9f536e42df4ae917922": { "review_count": 4, "quality": 5, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.8830714862888294, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.633, "graded": 452, "counts": [ 282, 89, 44, 21, 8, 2, 6 ], "sections": 42 }, "instructor_url": "/instructors/PAUL_STOY--instructor_325e4743fce02e5c4e341049" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BSE 405", "course_uid": "course_8a92316192bfc8e9be89f373", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Zhou Zhang" ], "a": 4, "ab": 5, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 12, "source_aliases": [ "BSE 405" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BSE 405", "course_uid": "course_8a92316192bfc8e9be89f373", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Zhou Zhang" ], "a": 4, "ab": 8, "b": 1, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 14, "source_aliases": [ "BSE 405" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BSE 405", "course_uid": "course_8a92316192bfc8e9be89f373", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Paul Stoy" ], "a": 14, "ab": 5, "b": 0, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "BSE 405" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "BSE 405", "course_uid": "course_8a92316192bfc8e9be89f373", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Zhou Zhang" ], "a": 17, "ab": 18, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 36, "source_aliases": [ "BSE 405" ] } ] ``` ### statistics #### gpa 3.679 #### graded 81 #### counts * 39 * 36 * 3 * 2 * 1 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8a92316192bfc8e9be89f373-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8a92316192bfc8e9be89f373-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8a92316192bfc8e9be89f373-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8a92316192bfc8e9be89f373-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8a92316192bfc8e9be89f373-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8a92316192bfc8e9be89f373-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6790123456790123 #### count 81 #### university ##### size 2701 ##### gpa Percentile 41 ##### count Percentile 40 ##### median Count 104 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 13 | false | | 2.8–3.2 | 172 | false | | 3.2–3.6 | 693 | false | | 3.6–4.0 | 1823 | true | #### departments ```json [ { "subject": "BSE", "comparison": { "size": 16, "gpaPercentile": 60, "countPercentile": 33, "medianCount": 128.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 9, "current": true } ] } } ] ``` ### terms #### 1234 ##### term 1234 ##### gpa 3.590909090909091 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | BSE | | #### 1244 ##### term 1244 ##### gpa 3.5357142857142856 ##### count 14 ##### departments | subject | comparison | | ------- | ---------- | | BSE | | #### 1254 ##### term 1254 ##### gpa 3.7142857142857144 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | BSE | | #### 1264 ##### term 1264 ##### gpa 3.742857142857143 ##### count 35 ##### university ###### size 1283 ###### gpa Percentile 56 ###### count Percentile 10 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments | subject | comparison | | ------- | ---------- | | BSE | | ### benchmarks #### all ##### school ###### size 2701 ###### gpa 3.6818072807746525 ###### top Share 83.341103666219 ###### count 104 ##### BSE ###### size 16 ###### gpa 3.4654141186831953 ###### top Share 68.3135495836286 ###### count 128.5 #### terms ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_0cfe6a00a5217d4fc289efb9", "name": "ZHOU ZHANG", "count": 60, "terms": [ { "term": "1234", "count": 11, "sections": 1, "gpa": 3.590909090909091 }, { "term": "1244", "count": 14, "sections": 1, "gpa": 3.5357142857142856 }, { "term": "1264", "count": 35, "sections": 1, "gpa": 3.742857142857143 } ] }, { "uid": "instructor_325e4743fce02e5c4e341049", "name": "PAUL STOY", "count": 21, "terms": [ { "term": "1254", "count": 21, "sections": 1, "gpa": 3.7142857142857144 } ] } ] ``` ## following None recorded.