Abstract

With the rapid increase in the world’s population, there is an ever-growing need for a sustainable food supply. Agriculture is one of the pillars for worldwide food provisioning, with fruits and vegetables being essential for a healthy diet. However, in the last few years the worldwide dispersion of virulent plant pests and diseases has caused significant decreases in the yield and quality of crops, in particular fruit, cereal and vegetables. Climate change and the intensification of global trade flows further accentuate the issue. Integrated Pest Management (IPM) is an approach to pest control that aims at maintaining pest insects at tolerable levels, keeping pest populations below an economic injury level. Under these circumstances, the early identification of pests and diseases becomes crucial. In this work, we present the first step towards a fully fledged, semantically enhanced decision support system for IPM. The ultimate goal is to build a complete agricultural knowledge base by gathering data from multiple, heterogeneous sources and to develop a system to assist farmers in decision making concerning the control of pests and diseases. The pest classifier framework has been evaluated in a simulated environment, obtaining an aggregated accuracy of 98.8%.

Highlights

  • The World Health Organization (WHO) and the Food and Agriculture Organization (FAO) of the United Nations agreed on the following definition: organic agriculture is a holistic production management system which promotes and enhances agroecosystem health, including biodiversity, biological cycles, and soil biological activity

  • Agriculture is one of the pillars for worldwide food provisioning, with fruits and vegetables being essential for a healthy diet

  • The general approach in organic agriculture is to deal with the causes of a problem rather than treating the symptoms

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Summary

Introduction

The World Health Organization (WHO) and the Food and Agriculture Organization (FAO) of the United Nations agreed on the following definition: organic agriculture is a holistic production management system which promotes and enhances agroecosystem health, including biodiversity, biological cycles, and soil biological activity It emphasizes the use of management practices in preference to the use of off-farm inputs, taking into account that regional conditions require locally adapted systems. Globalization and climate change are contributing to the emergence of new diseases and to their spread [4,5] Under these circumstances, early detection of the outbreak of a pest or disease becomes paramount to reduce yield losses and their corresponding economic damage.

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