An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity

An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity

Insect pests and crop diseases are considered the major problems for agricultural production, due to the severity and extent of their occurrence causing significant crop losses. To increase agricultural production, it is significant to protect the crop from harmful pests which is possible via soft c...

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Bibliographic Details
Main Authors: Suliman Aladhadh, Shabana Habib, Muhammad Islam, Mohammed Aloraini, Mohammed Aladhadh, Hazim Saleh Al-Rawashdeh
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
artificial intelligence
crop diseases
convolutional neural network
Faster-RCNN
machine learning
object detection
Online Access:https://www.mdpi.com/1424-8220/22/24/9749

Internet

https://www.mdpi.com/1424-8220/22/24/9749

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