Precision Farm Management

Features Precision Farm Management

Shedding Light on the functionality of Prefarmm Ltd which is an acronym for “Precision Farm Management” cloud software application for Arable Farming, Root Crop, Vegetable & Fruit Growing – Vineyard & Horticulture, and other related data recording farming businesses.
The website implements SSL certification giving data encryption from the server(cloud) to the web application browser ensuring the clients data is at the online internet banking level of security confidence.
The software is a real time computational service for recording day to day field tasks, production and accounting activities for the farmer.
Alongside management year data file organisation, weather data recording per field, Crop rotation planning strategies per field and year range, weighbridge recording when weighing in and out, field mapping and inventory tracking, farm economics sales and expenditures and profit and loss accounting, as well as giving various User software access levels from Owner, Manager, Operator and Agronomist.
All Actions data recorded for a given field is requested back to data analysis software which allows the farmer to distinguish graphical visualisations and tabulated forms of fields, production and economic activities, enabling to spot trends and potential foresight for improvements on a wide range of variables, such as resources, time and management, agronomy records, map records, weather records, historical field data of input and output product usage, weighbridge monitoring and its transport latency, field sales and expenditures, fixed and variable sales and expenditures associated with the farming enterprise, once all of this data is continually collected, historical data is stored for the farmers own use.
All data can be analysed by tables, charts and graphs enabling report generation stored on demand, for ease of access at a given time.
Future iterations of the software will involve chlorophyll fluorescence imaging to determine soil deficiencies and plant nutrients, coupled with historical (tagged data) collected over a range of year to give a crop economics prediction model.
With your continued support the software system will evolve and develo further to offer a more enhanced Android, iOS and tablet accessibility, decrease computational output latency of the integrated platform, expand on the research and development with respect to machine learning on recorded data, satellite imagery analysis relevant to soil and crop nutrient management for “Crop Economics Prediction Modelling” conducive to your farm and practises, in turn bridging the gap between research crop trails and what is actually being implemented within the limitations of a given farm and its geographical location, by means of geostationary methods(telemetry) and software engineering, coupled with farmer and academic knowledge transfer in your region, for farm linear planning of crop rotation, and their financial economic considerations.