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Most Cited

  • Article
  • Open Access
102 Citations
23,016 Views
18 Pages

Global Distribution of Aedes aegypti and Aedes albopictus in a Climate Change Scenario of Regional Rivalry

  • Gabriel Z. Laporta,
  • Alexander M. Potter,
  • Janeide F. A. Oliveira,
  • Brian P. Bourke,
  • David B. Pecor and
  • Yvonne-Marie Linton

3 January 2023

Arboviral mosquito vectors are key targets for the surveillance and control of vector-borne diseases worldwide. In recent years, changes to the global distributions of these species have been a major research focus, aimed at predicting outbreaks of a...

  • Review
  • Open Access
83 Citations
25,417 Views
36 Pages

Mosquito-Borne Diseases and Their Control Strategies: An Overview Focused on Green Synthesized Plant-Based Metallic Nanoparticles

  • Hudson Onen,
  • Miryam M. Luzala,
  • Stephen Kigozi,
  • Rebecca M. Sikumbili,
  • Claude-Josué K. Muanga,
  • Eunice N. Zola,
  • Sébastien N. Wendji,
  • Aristote B. Buya,
  • Aiste Balciunaitiene and
  • Jonas Viškelis
  • + 2 authors

23 February 2023

Mosquitoes act as vectors of pathogens that cause most life-threatening diseases, such as malaria, Dengue, Chikungunya, Yellow fever, Zika, West Nile, Lymphatic filariasis, etc. To reduce the transmission of these mosquito-borne diseases in humans, s...

  • Article
  • Open Access
81 Citations
7,890 Views
13 Pages

Maize-YOLO: A New High-Precision and Real-Time Method for Maize Pest Detection

  • Shuai Yang,
  • Ziyao Xing,
  • Hengbin Wang,
  • Xinrui Dong,
  • Xiang Gao,
  • Zhe Liu,
  • Xiaodong Zhang,
  • Shaoming Li and
  • Yuanyuan Zhao

10 March 2023

The frequent occurrence of crop pests and diseases is one of the important factors leading to the reduction of crop quality and yield. Since pests are characterized by high similarity and fast movement, this poses a challenge for artificial intellige...

  • Article
  • Open Access
67 Citations
8,437 Views
17 Pages

A New Pest Detection Method Based on Improved YOLOv5m

  • Min Dai,
  • Md Mehedi Hassan Dorjoy,
  • Hong Miao and
  • Shanwen Zhang

5 January 2023

Pest detection in plants is essential for ensuring high productivity. Convolutional neural networks (CNN)-based deep learning advancements recently have made it possible for researchers to increase object detection accuracy. In this study, pest detec...

  • Review
  • Open Access
64 Citations
17,550 Views
16 Pages

4 August 2023

The relationship between insects and humans throughout history has always been complex and multifaceted. Insects are both a source of fascination and fear for humans and have played important roles in human culture, economy, and health. Nowadays, the...

  • Feature Paper
  • Article
  • Open Access
55 Citations
9,603 Views
19 Pages

6 March 2023

The use of insects as livestock feed is becoming increasingly accepted because they provide an important source of protein. The purpose of this study was to investigate the chemical composition of mealworm larvae (Tenebrio molitor L.) reared on a ran...

  • Article
  • Open Access
53 Citations
7,550 Views
19 Pages

Bioconversion of Different Waste Streams of Animal and Vegetal Origin and Manure by Black Soldier Fly Larvae Hermetia illucens L. (Diptera: Stratiomyidae)

  • Somaya Naser El Deen,
  • Klaas van Rozen,
  • Hellen Elissen,
  • Piet van Wikselaar,
  • Istvan Fodor,
  • Rommie van der Weide,
  • Elise Federica Hoek-van den Hil,
  • Arya Rezaei Far and
  • Teun Veldkamp

17 February 2023

Black soldier fly larvae (BSFL) are considered a commercially viable solution for global organic waste problems. The objective of this study was to assess the feasibility of rearing BSFL on a wide range of low-value waste streams and its potential to...

  • Feature Paper
  • Article
  • Open Access
48 Citations
4,573 Views
12 Pages

Larvicidal and Antifeedant Effects of Copper Nano-Pesticides against Spodoptera frugiperda (J.E. Smith) and Its Immunological Response

  • Afroja Rahman,
  • Sarayut Pittarate,
  • Vivekanandhan Perumal,
  • Julius Rajula,
  • Malee Thungrabeab,
  • Supamit Mekchay and
  • Patcharin Krutmuang

7 November 2022

This study aimed to synthesize and evaluate the efficacy of CuO NPs (copper oxide nanoparticles) with varying test concentrations (10–500 ppm) against larvicidal, antifeedant, immunological, and enzymatic activities against larvae of S. fr...

  • Article
  • Open Access
48 Citations
10,957 Views
17 Pages

Detection of Rice Pests Based on Self-Attention Mechanism and Multi-Scale Feature Fusion

  • Yuqi Hu,
  • Xiaoling Deng,
  • Yubin Lan,
  • Xin Chen,
  • Yongbing Long and
  • Cunjia Liu

13 March 2023

In recent years, the occurrence of rice pests has been increasing, which has greatly affected the yield of rice in many parts of the world. The prevention and cure of rice pests is urgent. Aiming at the problems of the small appearance difference and...

  • Article
  • Open Access
47 Citations
7,286 Views
14 Pages

31 January 2023

Artificial Intelligence (AI) and automation are fostering more sustainable and effective solutions for a wide spectrum of agricultural problems. Pest management is a major challenge for crop production that can benefit from machine learning technique...

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Insects - ISSN 2075-4450Creative Common CC BY license