AR110261A1 - Determinación de variaciones de rendimiento intralote basadas en características del suelo e imágenes satelitales - Google Patents
Determinación de variaciones de rendimiento intralote basadas en características del suelo e imágenes satelitalesInfo
- Publication number
- AR110261A1 AR110261A1 ARP170103314A ARP170103314A AR110261A1 AR 110261 A1 AR110261 A1 AR 110261A1 AR P170103314 A ARP170103314 A AR P170103314A AR P170103314 A ARP170103314 A AR P170103314A AR 110261 A1 AR110261 A1 AR 110261A1
- Authority
- AR
- Argentina
- Prior art keywords
- agricultural
- property data
- data
- sublots
- permanent property
- Prior art date
Links
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B79/00—Methods for working soil
- A01B79/005—Precision agriculture
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G7/00—Botany in general
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Automation & Control Theory (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Botany (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Soil Sciences (AREA)
- Mechanical Engineering (AREA)
- Biodiversity & Conservation Biology (AREA)
- Ecology (AREA)
- Forests & Forestry (AREA)
- Water Supply & Treatment (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Processing (AREA)
Abstract
En una forma de realización, un método de procesamiento de datos comprende recibir datos de propiedades permanentes de una pluralidad de sublotes agrícolas de un lote agrícola, determinar la ausencia de al menos un elemento de datos en los datos de propiedades permanentes en cualquiera de los sublotes de la pluralidad de sublotes agrícolas y si es así generar datos adicionales de propiedades de la pluralidad de sublotes agrícolas, generar datos preprocesados de propiedades permanentes combinando los datos de propiedades permanentes con los datos adicionales de propiedades, generar datos filtrados de propiedades permanentes eliminando un conjunto preprocesado de registros de propiedades permanentes que corresponden a un subconjunto de la pluralidad de sublotes agrícolas en los que dos o más cultivos se cultivaron en el mismo año de los datos preprocesados de propiedades permanentes, aplicar un operador de regresión a los datos filtrados de propiedades permanentes para determinar una pluralidad de valores de variaciones intralote que representan variaciones intralote del rendimiento esperado del cultivo cosechado en la pluralidad de sublotes agrícolas.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/362,327 US20180146624A1 (en) | 2016-11-28 | 2016-11-28 | Determining intra-field yield variation data based on soil characteristics data and satellite images |
Publications (1)
Publication Number | Publication Date |
---|---|
AR110261A1 true AR110261A1 (es) | 2019-03-13 |
Family
ID=62192607
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
ARP170103314A AR110261A1 (es) | 2016-11-28 | 2017-11-28 | Determinación de variaciones de rendimiento intralote basadas en características del suelo e imágenes satelitales |
Country Status (7)
Country | Link |
---|---|
US (1) | US20180146624A1 (es) |
EP (1) | EP3545445A4 (es) |
AR (1) | AR110261A1 (es) |
AU (1) | AU2017365145B9 (es) |
CA (1) | CA3044058A1 (es) |
WO (1) | WO2018098190A1 (es) |
ZA (1) | ZA201903635B (es) |
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US10872417B1 (en) * | 2019-07-04 | 2020-12-22 | FlyPard Analytics GmbH | Automatic delineation agricultural field management zones using remote sensing and field data |
US11937527B2 (en) * | 2019-07-31 | 2024-03-26 | Cnh Industrial America Llc | System and method for determining residue coverage within a field following a harvesting operation |
US11393193B1 (en) * | 2019-10-16 | 2022-07-19 | Sentera, Inc. | Zone management generation from point samples |
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US11935242B2 (en) * | 2020-03-09 | 2024-03-19 | International Business Machines Corporation | Crop yield estimation |
US11477940B2 (en) | 2020-03-26 | 2022-10-25 | Deere & Company | Mobile work machine control based on zone parameter modification |
US11487047B2 (en) | 2020-07-15 | 2022-11-01 | International Business Machines Corporation | Forecasting environmental occlusion events |
US20220067121A1 (en) * | 2020-09-02 | 2022-03-03 | The Climate Corporation | Detecting contamination or feature mixing within harvest polygons at a vector level |
US11844311B2 (en) | 2020-10-09 | 2023-12-19 | Deere & Company | Machine control using a predictive map |
US11849671B2 (en) | 2020-10-09 | 2023-12-26 | Deere & Company | Crop state map generation and control system |
US11592822B2 (en) | 2020-10-09 | 2023-02-28 | Deere & Company | Machine control using a predictive map |
US12013245B2 (en) | 2020-10-09 | 2024-06-18 | Deere & Company | Predictive map generation and control system |
US11849672B2 (en) | 2020-10-09 | 2023-12-26 | Deere & Company | Machine control using a predictive map |
US11864483B2 (en) | 2020-10-09 | 2024-01-09 | Deere & Company | Predictive map generation and control system |
US11711995B2 (en) | 2020-10-09 | 2023-08-01 | Deere & Company | Machine control using a predictive map |
US11895948B2 (en) | 2020-10-09 | 2024-02-13 | Deere & Company | Predictive map generation and control based on soil properties |
US11889788B2 (en) | 2020-10-09 | 2024-02-06 | Deere & Company | Predictive biomass map generation and control |
US11635765B2 (en) | 2020-10-09 | 2023-04-25 | Deere & Company | Crop state map generation and control system |
US11650587B2 (en) | 2020-10-09 | 2023-05-16 | Deere & Company | Predictive power map generation and control system |
US11946747B2 (en) | 2020-10-09 | 2024-04-02 | Deere & Company | Crop constituent map generation and control system |
US11874669B2 (en) | 2020-10-09 | 2024-01-16 | Deere & Company | Map generation and control system |
US11727680B2 (en) | 2020-10-09 | 2023-08-15 | Deere & Company | Predictive map generation based on seeding characteristics and control |
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-
2016
- 2016-11-28 US US15/362,327 patent/US20180146624A1/en not_active Abandoned
-
2017
- 2017-11-21 CA CA3044058A patent/CA3044058A1/en active Pending
- 2017-11-21 AU AU2017365145A patent/AU2017365145B9/en not_active Ceased
- 2017-11-21 WO PCT/US2017/062867 patent/WO2018098190A1/en unknown
- 2017-11-21 EP EP17874632.7A patent/EP3545445A4/en active Pending
- 2017-11-28 AR ARP170103314A patent/AR110261A1/es active IP Right Grant
-
2019
- 2019-06-06 ZA ZA2019/03635A patent/ZA201903635B/en unknown
Also Published As
Publication number | Publication date |
---|---|
BR112019010837A8 (pt) | 2023-02-14 |
EP3545445A1 (en) | 2019-10-02 |
AU2017365145B9 (en) | 2022-06-09 |
EP3545445A4 (en) | 2020-08-05 |
AU2017365145A1 (en) | 2019-06-27 |
BR112019010837A2 (pt) | 2019-10-01 |
ZA201903635B (en) | 2020-12-23 |
CA3044058A1 (en) | 2018-05-31 |
US20180146624A1 (en) | 2018-05-31 |
WO2018098190A1 (en) | 2018-05-31 |
AU2017365145B2 (en) | 2022-05-26 |
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