Method and system for optimizing planting operations

• US 9,924,629 B2
• Filed: 06/23/2014
• Issued: 03/27/2018
• Est. Priority Date: 06/21/2013
• Status: Active Grant

• Current Assignee: Appareo Systems LLC (AGCO Corporation), Intelligent Agricultural Solutions LLC
• Original Assignee: Appareo Systems LLC (AGCO Corporation)
• Inventors: Batcheller, Barry D., Heilman, Joseph A., Batcheller, David C., Weinmann, Robert V., Johnson, Jeffrey L., Johnson, Paul D., Nystuen, Paul A.
• Primary Examiner(s): INGRAM, THOMAS P
• Application Number:
  US14/312,475
• Publication Number:
  US 20140379228A1
• Time in Patent Office: 1,373 Days
• CPC Class Codes: A01B 76/00 Parts, details or accessories of agricultural machines or implements, not provided for in groups A01B51/00 - A01B75/00
• CPC Class Codes: A01B 79/005 Precision agriculture
• CPC Class Codes: A01B 79/02 combined with other agricultural processing, e.g. fertilising, planting
• CPC Class Codes: A01C 14/00 Methods or apparatus for planting not provided for in other groups of this subclass
• CPC Class Codes: A01C 21/005 Following a specific plan, e.g. pattern
• CPC Class Codes: A01C 21/007 Determining fertilization requirements
• CPC Class Codes: A01C 7/102 Regulating or controlling the seed rate
• CPC Class Codes: A01C 7/201 Mounting of the seeding tools

Abstract

An agricultural planting system and method comprising a soil sampling and analysis means, wherein soil samples are taken and analyzed in real-time during a planting operation (or, optionally, via a separate, prior operation) to determine the conditions and nutrient content of the soil, and a planting system, wherein the planting system is capable of planting seeds in any arbitrary position on an X-Y plane directly beneath the planting system, whereby the data gathered from the analyzed soil samples are used to determine the optimal placement of seeds or plants in a field in order to take advantage of the soil conditions present and to optimize crop yield.

Claims

1. An adaptive condition-based agricultural planting system configured for real-time soil sensing in situ and interactive seed placement based on soil sensing, which planting system comprises:

a planter configured for traversing a crop field and including a toolbar and multiple planter row units transversely movably mounted on said toolbar;

a processor connected to said system and programmed for receiving as real-time input crop growth factors, said crop growth factors chosen from the group comprising moisture levels, nutrient content and chemical composition;

a soil sensing and analysis subsystem mounted on said equipment and connected to said processor, said sensing and analysis subsystem configured for;

extracting physical soil samples from said field;

receiving said soil samples;

analyzing said retrieved soil samples; and

sensing crop growth factors including moisture level, nutrient content and chemical composition from said extracted soil samples concurrently with equipment travel over field locations being sensed;

said multiple planter row units dynamically movably mounted on said toolbar and each including a furrow opener and a seed discharge configured for placing seeds subsurface in a furrow opened by said opener;

a seed source mounted on said equipment and configured for supplying seed to said seed discharges;

a planter row unit positioning mechanism connected to said processor and configured for individually positioning said planter row units;

said processor programmed for dynamically positioning said planter row units and depositing seeds therefrom subsurface at locations determined by said processor based on optimal crop growing conditions at said seed-planting locations;

said processor further programmed to control additions of chemicals to said soil to add nutrients configured to optimize crop growing conditions upon detection of a lack of said nutrients by said processor;

the planting system is configured for planting seeds in positions directly beneath the planting system;

the data gathered from the analyzed soil samples is used to determine the optimal placement of seeds or plants in a field in order to take advantage of the soil conditions present and to optimize crop yield;

the planting system further comprises multiple pick-and-plant planters each movably mounted on said toolbar, each pick-and-plant planter comprising a translation platform and a planting tool located on the underside of the translation platform capable of interacting with the ground; and

each planting tool configured for depositing one or more seeds at optimal locations as determined by the processor.

2. A condition-based planting system according to claim 1, which includes a smart row planter movably mounted on said toolbar and configured for moving transversely from side-to-side perpendicular to the path of the planning system and of placing one or more seeds into the ground at planting locations determined by the processor.

3. The agricultural planting system according to claim 1, which includes:

said soil sensing system field interface being configured for taking soil samples from multiple points in a field along the travel path of the planter;

said processor being configured for determining if the soil removed from the furrows has adequate nutrient content; and

each said planter row unit including a nutrient injection subsystem connected to said processor and configured for adding nutrient content to the soil along a respective furrow if the soil sample removed therefrom does not have adequate nutrient content.