Smart Farming Tracker

Digitalization in agriculture is advancing forward. Precision Farming, Smart Farming, Digital Farming, Farming 4.0 – These are terms you hear about in media, politics and in the pub. If it is to apply fertilizer more precisely, have your tractors communicate with one another, or to monitor your pigs with your smartphone. There are many different techniques to optimize your crop cultivation and farming enterprise.

But: "Which technology, programs or procedures are used currently on farms?”

Kleffmann Group gives an overview on the actual status quo on German farms. The study results will be available by April 2018. 

For more information on our full range of solutions please contact us

Nadine Nienhaus
Key Account Manager
Nadine.Nienhaus@kleffmann.com
Phone: + 49 (0) 2591 9188 – 302

Automatic data collection

  • Yield books: type and programs used (F)
  • Type of recording of machine time, application rate and yield
  • Connection of the programs (F)
  • Transfer of data (C)
  • Bookkeeping (F)
  • Annual costs for digital programs

Location and plant parameters

  • (Basic data for Precision Farming)
  • Data collection methods
  • Percentage of collected acreage
  • Usage of sensor technique
  • Data processing
  • Preparation of biomass maps
  • Preparation of application maps

Precision Farming

  • Usage of precision farming technology
  • Programs farmers use and their satisfaction
  • Advantages of usage / reasons for usage
  • Resulting additional income
  • Resulting cost savings
  • Resulting time savings
  • Disadvantages of usage / problems
  • Future perspective of usage
  • Reasons for non-usage
  • Key criteria for usage
  • Source of information

Demographical information/Statistic/Screening

  • Age
  • Education level
  • Economical focus of the farm (arable, livestock etc.)
  • Farm size
  • Cultivated crops (F)
  • Type and number of animals (F)
  • Average field size (F)

Automatization/Field Robotic

  • Current and future technical equipment of tractors and further machinery
  • Usage of autonomous vehicles, master slave and robotic
  • Extraction of generated data

Fleet management

  • Usage of location monitoring
  • Usage of route planning
  • Usage of teleservice