Automatic trap for fruit fly real time detection (Anastrepha spp. and Ceratitis capitata)

• Grant number: 21/06402-0
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Duration: February 01, 2022 - January 31, 2024
• Field of knowledge: Agronomical Sciences - Agronomy - Plant Health
• Principal Investigator: Hugo Rafacho Fernandes
• Grantee: Hugo Rafacho Fernandes
• Host Company: AFH Soluções Tecnológicas Ltda
• CNAE: Consultoria em tecnologia da informação ; Tratamento de dados, provedores de serviços de aplicação e serviços de hospedagem na internet ; Pesquisa e desenvolvimento experimental em ciências físicas e naturais
• City: Campinas
• Associated researchers: Fabricio Theodoro Soares ; Miguel Francisco de Souza Filho
• Associated research grant: 19/01034-2 - Sensor for real-time detection of fruit flies (Anastrepha spp. and Ceratitis capitata) for use in automated traps, AP.PIPE
• Associated scholarship(s): 22/07023-5 - AUTOMATIC TRAP FOR FRUIT FLY REAL TIME DETECTION (Anastrepha spp. e Ceratitis capitata), BP.TT; 22/14836-2 - Automated traps for real-time detection of Fruit Flies (Anastrepha spp. and Ceratitis capitata), BP.PIPE; 22/00420-9 - Automatic trap for fruit fly real time detection (Anastrepha spp. e Ceratitis capitata), BP.PIPE; 21/14985-5 - AUTOMATIC TRAP FOR FRUIT FLY REAL TIME DETECTION (Anastrepha spp. e Ceratitis capitata), BP.TT

Abstract

Fruit flies are some of the main pest insects that cause damage to fruit growing worldwide, and can cause direct damage due to the loss of fruit production for fresh consumption and industrial processing, in addition to indirect damage as they are considered quarantine pests. In Brazil, these losses add up to around 180 million reais annually. Conventional methods of monitoring fruit flies require the mobilization of specialized labor in the field on a weekly basis and use food or sexual attractants that can evaporate quickly, in addition to decomposing the insect during this period. These factors make it difficult to effectively monitor the level of infestation in the area, which is crucial for implementing fruit fly control. This research project was designed with the general objective of advancing the development of automated traps for monitoring fruit flies that use image processing to count and classify pests and also a pass sensor for detection, counting, and identification of flies, initiated in the PIPE Phase 1 research project, FAPESP process no 2019 / 01034-2. The technologies in the development of the traps will allow the collection of capture data, transmitted to a server and with dedicated reports for the most efficient and precise handling of the fruit flies. It is expected to obtain as a result, prototypes of traps in their initial version to be implanted in productive units of fruit trees, the main target of an increase of fruit flies of the genus Anastrepha spp. and Ceratitis capitata, transmitting data to a WEB platform for easy access and interpretation of information. Project activities were divided by knowledge area. The teams responsible for each stage were selected to obtain the best performance. Laboratory and field tests will be conducted throughout the development process to assess the progress of activities and prepare project reports. Finally, the solution presents important innovations and results to the reality of Brazilian agriculture, digital agriculture, and the economic yield of national fruit production. (AU)