A5084042529- Insect and Pesticide Research
- Plant and animal studies
- Insect and Arachnid Ecology and Behavior
- Insect Pest Control Strategies
- Insect-Plant Interactions and Control
- Insect symbiosis and bacterial influences
- Mosquito-borne diseases and control
- Bee Products Chemical Analysis
- Insect Resistance and Genetics
- Seed Germination and Physiology
- Microplastics and Plastic Pollution
- Spectroscopy and Chemometric Analyses
- Marine Biology and Environmental Chemistry
- Genetics and Plant Breeding
- Smart Agriculture and AI
- Statistical Methods and Applications
- Recycling and Waste Management Techniques
- Invertebrate Immune Response Mechanisms
- Geography and Environmental Studies
- Antimicrobial Peptides and Activities
- Animal Behavior and Reproduction
- Face and Expression Recognition
- Advanced Neural Network Applications
- Nanoparticles: synthesis and applications
- Industrial Vision Systems and Defect Detection
Universidade Federal de Viçosa
2015-2025
Instituto de Tecnologia e Pesquisa
2015
Universidade Estadual Paulista (Unesp)
2015
Because of their natural origin, biopesticides are assumed to be less harmful beneficial insects, including bees, and therefore use has been widely encouraged for crop protection. There is little evidence, however, support this ingrained notion biopesticide safety pollinators. larval exposure still largely unexplored in ecotoxicology risk assessment on an investigation was performed the lethal sublethal effects a diet treated with 2 bioinsecticides, azadirachtin spinosad, stingless bee,...
Bee pollination is crucial for ecosystem maintenance and crop production. The ubiquity of bee pollinators in agricultural landscapes frequently results their exposure to agrochemicals, which has been associated with decline. Stingless bees are wild restricted the Pantropical region, like honey bees, suffering colony losses. However, stingless do not show same behaviors, therefore, methods used risk assessment cannot be utilized on bees. Herein, we describe protocols standardize that allow...
Manual monitoring of animal behavior is time-consuming and prone to bias. An alternative such limitations using computational resources in behavioral assessments, as tracking systems, facilitate accurate long-term evaluations. There a demand for robust software that addresses analysis heterogeneous environments (such field conditions) evaluates multiple individuals groups while maintaining their identities. The Ethoflow was developed computer vision artificial intelligence (AI) tools monitor...
Large-scale pesticide application poses a major threat to bee biodiversity by causing decline in populations that, turn, compromises ecosystem maintenance and agricultural productivity. Biopesticides are considered an alternative synthetic pesticides with focus on reducing potential detrimental effects beneficial organisms such as bees. The production of healthy queen stingless bees is essential for the survival reproduction hives, although it remains unknown whether biopesticides influence...
The lack of consensus regarding pollinator decline in various parts the planet has generated intense debates different spheres. Consequently, much research attempted to identify leading causes this decline, and a multifactorial synergism (i.e., stressors acting together mutually potentiating harmful effects) seems be emerging explaining phenomenon. emphasis on some stressor groups such as agrochemicals, pollinators honey bee Apis mellifera , can hide real risk anthropogenic pollinating...
Stingless bees (Hymenoptera: Meliponini) are pollinators of both cultivated and wild crop plants in the Neotropical region. However, they susceptible to pesticide exposure during foraging activities. The fungicide fluazinam is commonly applied bean sunflower cultivation flowering period, posing a potential risk stingless bee Partamona helleri, which serves as pollinator for these crops. In this study, we investigated impact acute oral (24 h) on survival, morphology cell death signaling...
Modern techniques that enable high-precision and rapid identification/elimination of wheat seeds infected by Fusarium head blight (FHB) can help to prevent human animal health risks while improving agricultural sustainability. Robust pattern-recognition methods, such as deep learning, achieve higher precision in detecting using more accessible solutions, ordinary RGB cameras. This study used different deep-learning approaches based on images, combining hyperparameter optimization,...