Insect identification

2021 ◽  
pp. 6-7
Author(s):  
Vivek Tiwari ◽  
Shailendra Gupta ◽  
Priyadarshini Roy ◽  
Chinky Karda ◽  
Shalini Agrawal ◽  
...  

1971 ◽  
Vol 54 (1) ◽  
pp. 101
Author(s):  
H. A. Denmark

1961 ◽  
Vol 93 (2) ◽  
pp. 123-130 ◽  
Author(s):  
S. F. Condrashoff

Felt (1940) mentioned a midge in Douglas-fir needles which he called Cecidomyia sp.; this reference was quoted by Barnes (1951). Denton (1954) reported that a midge, identified by the Division of Insect Identification, United States Bureau of Entomology and Plant Quarantine as Cecidomyia sp., occurred in needles of Douglas fir in northeastern Washington, northern Idaho, and northeastern Montana. In 1954 the author reared some adults which H. F. Barnes (in litt. 1957) referred to the genus Contarinia Rond. Unpublished records from 1935 to date indicate unidentified needle-inhabiting gall midges throughout most of the host range. Recently the author found indications of a species comples which were confirmed by further rearings of adults. This paper presents the description of three new species of Contarinia Rond., reared under similar conditions, from material obtained at Oyama, B.C.


Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1754
Author(s):  
József Sütő

Flying insect detection, identification, and counting are the key components of agricultural pest management. Insect identification is also one of the most challenging tasks in agricultural image processing. With the aid of machine vision and machine learning, traditional (manual) identification and counting can be automated. To achieve this goal, a particular data acquisition device and an accurate insect recognition algorithm (model) is necessary. In this work, we propose a new embedded system-based insect trap with an OpenMV Cam H7 microcontroller board, which can be used anywhere in the field without any restrictions (AC power supply, WIFI coverage, human interaction, etc.). In addition, we also propose a deep learning-based insect-counting method where we offer solutions for problems such as the “lack of data” and “false insect detection”. By means of the proposed trap and insect-counting method, spraying (pest swarming) could then be accurately scheduled.


2012 ◽  
Vol 22 (4) ◽  
pp. 509-521 ◽  
Author(s):  
Douglas A. Golick ◽  
Tiffany M. Heng-Moss ◽  
Allen L. Steckelberg ◽  
David. W. Brooks ◽  
Leon G. Higley ◽  
...  

2020 ◽  
Vol 5 (2) ◽  
pp. 38-46
Author(s):  
Alfira Khullatun Ni'am ◽  
Ari Hayati ◽  
Hasan Zayadi

The rice plant (Oryza sativa.) is an important food crop which is a staple food for more than half of the world's population because it contains nutrients that the body needs. Rice production in East Java in 2011 experienced a significant decline in production i.e. 9.2% and declined again in 2013 (1.2%) with an average productivity (5.9) 1. Problems in agriculture are inseparable from the role of insects as pests. Decrease in production can occur due to insect pests. The purpose of this study was to identify the types of insects on rice fields, to find out the number of insects found based on the temporal distribution of rice fields in Technical implementation unit of Palawija Seed Development of Singosari, Malang, Research has been conducted on the temporal distribution of insect populations on rice plants by using temporal replication or time in three time periods, namely morning period (06.00-09.00), morning-noon (09.00-12.00), and afternoon (13.00-16.00). The observation parameters were done to measure abiotic factors including: temperature, humidity, wind speed, and light intensity and biotic factor measurements; insect identification, insect status determination, and insect distribution. The results of the identification of insects found there were nine species, seven kinds of families, and five orders of insects that had different statuses including predators and pests. The nine insects species include Agriocnemis pygmae, Diplacodes trivialis, Crocothermis servilia, Menochilus sexmaculata, Oxya chinensis, Valanga nigricornis, Schirpophaga innotata, Junonia almana, Zelus luridus. There are the effect of abiotic factors on the number of insects. Keywords: rice (Oryza sativa), insect population, insect status. ABSTRAK Tanaman padi (Oryza sativa) merupakan tanaman penting yang menjadi makanan pokok lebih dari setengah penduduk dunia karena mengandung nutrisi yang diperlukan tubuh. Produksi padi di Jawa Timur pada tahun 2011 terjadi penurunan produksi yang cukup signifikan yaitu 9,2% dan kembali menurun pada tahun 2013 (1,2%) dengan rata-rata produktivitas (5,9)-1. Permasalahan di bidang pertanian tidak terlepas dari peran serangga sebagai hama. Penurunan produksi dapat terjadi karena serangga hama. Tujuan penelitian ini adalah untuk mengidentifikasi macam-macam serangga pada lahan tanaman padi, mengetahui jumlah serangga yang ditemukan berdasarkan distribusi temporal pada lahan tanaman padi di Unit Pelaksana Teknis (UPT) Pengembangan Benih Palawija Singosari Malang. Ulangan waktu pada tiga periode waktu yaitu Periode pagi (06.00-09.00), Siang (09.00-12.00), dan sore (13.00-16.00). Parameter pengamatan dilakukan pengukuran factor abiotik meliputi suhu, kelembaban, kecepatan angin, dan intensitas cahaya dan pengukuran factor biotik meliputi identifikasi serangga, penentuan status serangga, dan distribusi serangga. Hasil identifikasi serangga ditemukan ada sembilan macam spesies serangga, tujuh macam familia, dan lima ordo serangga yang memiliki status yang berbeda meliputi predator dan hama. Sembilan species serangga tersebut meliputi Agriocnemis pygmae, Diplocodes trivialis, Crocothermis servilia, Menochilus sexmaculata, Oxya chinensis, Valanga nigricornis, Schirpophaga innotata, Junonia almana, Zelus luridus. Terdapat hubungan antara factor abiotik kecepatan angin terhadap jumlah serangga. Kata Kunci: padi (Oryza sativa), populasi serangga, status serangga.


Author(s):  
Paulo de Souza ◽  
Peter Marendy ◽  
Karien Barbosa ◽  
Setia Budi ◽  
Pascal Hirsch ◽  
...  

This paper introduces both a hardware and a software system designed to allow low-cost electronic monitoring of social insects using RFID tags. Data formats for individual insect identification and their associated experiment are proposed to facilitate data sharing from experiments conducted with this system. The antenna's configuration and their duty cycle ensure a high degree of detection rates. Other advantages and limitations of this system are discussed in detail in the paper.


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