The system is built in an ERP format which enables management of the vast needs found in the agricultural industry. On the agrotechnical side, it manages growth protocol through operational processes, and on the economic side, it manages pricing. Using the system brings about immediate improvement in the quality of the crops - food safety,* growth improvement - nutrition security * prediction, documentation and treatment of diseases - plant protection * expense management and proper distribution of resources - efficiency * receiving data and integrating it between systems – interface generator * accurate pricing while tracking expenses and revenue, inventory management, marketing, support in different languages, and more.
The corporate/cooperative module is a virtual contact management tool for organizations with a large number of growers. The module allows for the transfer and reception of data in a uniform format. Using the module enables planning and management of operations such as: picking, purchasing, receiving and accessing data from various sources, transferring sorting results and financial transactions, standardization management and more. The module is based on a built-in interface generator.
The standardization module enables management of all types of standardization of various processes. The module includes a system for risk management and testing through checklists. Users of the module receive regular updates on standardization details such as: procedures, forms, lists of pesticides, fertilizers, etc. When using the module, it is possible to conduct risk surveys and to save required documents and/or to make links to external sites, so there is no need for paper documents. The system automatically indicates the grower’s preparedness in relation to the requirements of standardization.
GIS DATA MANAGEMENT
The Geographic Information System (GIS) allows for collection, organization, analysis and display of relevant geographic information from various sources. The module enables the analysis of the information in the system in a geographic manner. It collects geographic data from the field and performs queries. It allows for cooperation with the government, by comparing layers of data from various sources in relation to the data layers from the growers' plots.
AKOLogic is the main platform from AKOL software house.
AKOLogic – "The first "Agricultural Cloud" in the world, based on Microsoft Cloud "Azure." The system allows monitoring the growth process from the field to the supermarket - Full traceability.
It is important to note that "in accordance with Section 8 of the Protection of Privacy Law, 5741-1981," AKOL Anat Keshev Ltd. holds a certificate of approval from the Ministry of Justice for the management of an international farmers' database, number 700062188.
IOT - INTERNET OF THINGS
Internet for farmers: Every day, farmers need a lot of information collected from various sources and put into a smart management system. There is a necessity to collect information from “different objects” in the field, such as sensors, mechanical devices, satellites, drones, smart phones, and other cutting edge technology, and to compile it in a central, smart, information system. Collection and reception of data in a uniform format permits the information to be easily accessible. This accessibility requires a smart tool that will ensure compatibility between all parties.
AKOLogic is an example of a smart management system based on Microsoft’s cloud technology. When using the smart system, it is possible to manage several growth sections simultaneously. It enables sending and receiving data from external systems, such as accounting, packing houses, laboratories, irrigation systems, sensors, etc. It centralizes and manages necessary information for growers while creating a uniform and compatible database. The smart system enables compatibility with different languages, professional concepts, cultures and more.
Operational organizations use smart management systems. A database is created that includes data collected from various sources. The information is saved and stored in a professional manner where field names and information are compatible with artificial intelligence tools, so BI (business intelligence) and others can retrieve data. Proper management of databases provides security, allows for analysis and the clear display of information, and streams information to users in accordance with their demands.
When an organization’s Big Data database is organized and managed according to industry requirements, artificial intelligence tools can automatically investigate the collected agricultural information for "deep learning" of trends, processes, statistical significance, comparisons and more. Using these tools will enable farmers to improve their crops by making informed decisions.