20240008390. METHODS AND SYSTEMS FOR MANAGING AGRICULTURAL ACTIVITIES simplified abstract (CLIMATE LLC)

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METHODS AND SYSTEMS FOR MANAGING AGRICULTURAL ACTIVITIES

Organization Name

CLIMATE LLC

Inventor(s)

SIVAN Aldor-noiman of Foster City CA (US)

ERIK Andrejko of Oakland CA (US)

MOOREA LEE Brega of San Francisco CA (US)

TRISTAN D'orgeval of Paris (FR)

JAMES Ethington of San Francisco CA (US)

KATHERINE Krumme of Berkeley CA (US)

EVIN Levey of Kentfield CA (US)

ELI J. Pollak of San Francisco CA (US)

SAMUEL ALEXANDER Wimbush of San Francisco CA (US)

METHODS AND SYSTEMS FOR MANAGING AGRICULTURAL ACTIVITIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240008390 titled 'METHODS AND SYSTEMS FOR MANAGING AGRICULTURAL ACTIVITIES

Simplified Explanation

The patent application describes a computer-implemented method for managing agricultural activities in a field region. Here is a simplified explanation of the abstract:

  • The method involves identifying temperature grids and weather stations for a field region.
  • Each weather station is located at a specific location within the temperature grids.
  • Weight values are computed based on the proximity of weather stations to their respective grids.
  • Temperature readings are received from the weather stations.
  • Weighted temperatures are computed based on the weight values.
  • Field condition data is computed for the field region based on the weighted temperatures.
  • At least one field activity is determined for the field region based on the field condition data.

Potential applications of this technology:

  • Precision agriculture: The method can be used to optimize agricultural activities such as irrigation, fertilization, and pest control by providing accurate field condition data.
  • Crop management: Farmers can make informed decisions about planting, harvesting, and other crop-related activities based on the field condition data.
  • Weather forecasting: The method can contribute to improving weather forecasting models by providing real-time temperature data from various locations within a field region.

Problems solved by this technology:

  • Inaccurate field condition assessment: The method provides a more precise and localized approach to assessing field conditions by considering temperature readings from multiple weather stations.
  • Inefficient resource allocation: By determining field activities based on field condition data, the method helps farmers allocate resources more efficiently and effectively.

Benefits of this technology:

  • Increased crop yield: By optimizing agricultural activities based on accurate field condition data, farmers can potentially increase their crop yield.
  • Cost savings: Efficient resource allocation can lead to cost savings in terms of water usage, fertilizer application, and other inputs.
  • Environmental sustainability: Precision agriculture techniques enabled by this technology can contribute to reducing the environmental impact of farming practices.


Original Abstract Submitted

systems and methods are provided for managing agricultural activities in a field region. in one example, a computer-implemented method includes identifying temperature grids for the field region, and identifying weather stations for the temperature grids. each weather station is located at a weather station location in the temperature grids. the computer-implemented method also includes computing weight values based on the weather station locations of the weather stations, such that the weather stations that are more proximate to their respective grids have higher weights than weather stations that are less proximate to their respective grids, and receiving temperature readings from the weather stations. the computer-implemented method then includes computing a plurality of weighted temperatures based on the weight values, computing field condition data for the field region based on the weighted temperatures, and determining at least one field activity for the field region based on the field condition data.