Pest Detection And Reduction Using Image Processing And Automation
Sri Sakthi Thirumagal
, Rithikaa C G , Nikhitha Yetigadda , Srinithi , Shalini R
image processing, Automation, Pest detection, computer vision.
A poll indicates that 70% of Indians depend on the agricultural industry. Food shortages can be greatly reduced and
wholesome, nutritious food can be supplied through the agriculture sector. Because pest infestations significantly harm crops
and degrade their quality, farmers have a tough time recognizing crop insects. The drawback of traditional insect
identification is that accurate identification of insects based on morphological traits requires taxonomists with specialized
knowledge. New advancements have been made in the search for pests in crop fields. This study focuses on the use of image
processing to recognize pests and automation to select the best insecticide to get rid of them. The curated image contains the
name of the recognized insect, which is input into automation[2]. This results in the eco-friendly organic insecticide. Using
this will aid the grower who is less knowledgeable about bugs and insecticides.
"Pest Detection And Reduction Using Image Processing And Automation", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.1-6, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001001.pdf
Volume 11
Issue 2,
February-2024
Pages : 1-6
Paper Reg. ID: TIJER_150945
Published Paper Id: TIJERB001001
Downloads: 000274
Research Area: Science and Technology
Country: THIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
