Digital knowledge ecosystem framework for aerial control of agricultural pests

Abstract

This article puts forward a process model for information gathering, planning and execution for decision making in relation to the technological approach in agricultural pest control. The proposed model was tested on aerial application of pesticides for pest control. In here, we propose a methodology based on action–research for implementation of a business, system, and technology model to assist and facilitate the collaborative use of resources and expertise, as well as to adjust one solution based on technological knowledge and management. A case study on pest control on agricultural landscapes in Brazil is presented to illustrate the results of this action–research approach in three different contexts. Its relevance may be measured by its benefits captured by the sharing of information within the networks, to facilitate the flows from information collected to improve the perception from the environment in the form of collective intelligence, so as to compare with previous cases stored in the knowledgebase, for formulation of action planning. Such arrangements pave the way for non-linear methods replacing attempts at objectivity, linear thought and control, as well as risks consideration to be integrated into a social computing system. The results demonstrate that such command-and-control system could be expanded for deployment in other sectors related to agriculture.