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CLIMATE CORP

Overview
  • Total Patents
    685
  • GoodIP Patent Rank
    2,297
  • Filing trend
    ⇩ 20.0%
About

CLIMATE CORP has a total of 685 patent applications. It decreased the IP activity by 20.0%. Its first patent ever was published in 2008. It filed its patents most often in United States, WIPO (World Intellectual Property Organization) and EPO (European Patent Office). Its main competitors in its focus markets agriculture, computer technology and it methods for management are SHANDONG FENCER INFORMATION TECH CO LTD, GUANGZHOU INST GEOGRAPHY and AGRICULTURAL INFORMATION INST CAAS.

Patent filings per year

Chart showing CLIMATE CORPs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Sauder Doug 62
#2 Xu Ying 60
#3 Guan Wei 53
#4 Koch Justin 41
#5 Xu Lijuan 39
#6 Koch Dale 39
#7 Andrejko Erik 31
#8 Yang Xiao 30
#9 Reich Timothy 30
#10 Xie Yao 26

Latest patents

Publication Filing date Title
US2020365153A1 Voice-integrated agricultural system
US2020327603A1 Leveraging feature engineering to boost placement predictability for seed product selection and recommendation by field
US2020309994A1 Generating and conveying comprehensive weather insights at fields for optimal agricultural decision making
US2020304699A1 System and method for automatic control of exposure time in an imaging instrument
US2020281110A1 Real-time agricultural recommendations using weather sensing on equipment
US2020286306A1 Data storage and transfer device for an agricultural intelligence computing system
WO2020172603A1 Digital modeling and tracking of agricultural fields for implementing agricultural field trials
WO2020132674A1 In-season field level yield forecasting
US2020202458A1 Predictive seed scripting for soybeans
WO2020132453A1 Utilizing spatial statistical models for implementing agronomic trials
US2020200897A1 Quantitative precipitation estimate quality control
WO2020123402A1 Mapping field anomalies using digital images and machine learning models
US2020178483A1 Image-based irrigation recommendations
US2020184214A1 Mapping soil properties with satellite data using machine learning approaches
US2020128721A1 Automated sample collection and tracking system
US2020134486A1 Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field
US2020134392A1 Detection of plant diseases with multi-stage, multi-scale deep learning
WO2020086750A1 Using machine learning-based seed harvest moisture predictions to improve a computer-assisted agricultural farm operation
WO2020086774A1 Detecting infection of plant diseases with improved machine learning
US2020128720A1 Systems and methods for identifying and utilizing testing locations in agricultural fields