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FarmBot is an open source precision agriculture CNC farming project consisting of a Cartesian coordinate robot farming machine, software and documentation including a farming data repository. [1] [2] The project aims to "Create an open and accessible technology aiding everyone to grow food and to grow food for everyone." [2]
Farmer Field School database: an on-line database with a decentralised data entry system in which outputs such as publications, radio messages, manuals, short articles etc. can be uploaded, but also persons, projects and organisations; Farming Solutions: success stories compiled by Oxfam, Greenpeace, and others
Automatic milking eliminates the farmer from the actual milking process, allowing for more time for supervision of the farm and the herd. Farmers can also improve herd management by using the data gathered by the computer. By analyzing the effect of various animal feeds on milk yield, farmers may adjust accordingly to obtain optimal milk yields ...
Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...
LIMS is based on a geographic information system (GIS), and aims to streamline the digitization of farming processes. [3] It gives farmers online access to data on climate shifts, satellite-based crop monitoring, water usage, fertilizer application, and targeted spray zones.
Integrated farming (IF), integrated production, or integrated farm management is a whole farm management system which aims to deliver more sustainable agriculture without compromising the quality or quantity of agricultural products. Integrated farming combines modern tools and technologies with traditional practices according to a given site ...
Consolidation of data from different sources (Enterprise Resource Planning (ERP), Laboratory, Distributed Control System (DCS)...) Integration of off-line data (laboratory, calculations, future load profiles) Access via the company-wide intranet also from offices. Via Web (Thin client) or Tcp / Ip (Fat client) Enriching / refining raw data
The teams of data farmers are assigned a specific area of study, such as robotics, homeland security, and disaster relief. Different forms of data farming are experimented with and utilized by each group, such as the Pythagoras ABM , the Logistics Battle Command model, and the agent-based sensor effector model (ABSEM).