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Price Distribution

Price distribution over 47 days • 1 price levels

Days at Price

Price Analysis

Most common price: £67 (47 days, 100.0%)

Price range: £67 - £67

Price levels: 1 different prices over 47 days

Description

Artificial intelligence and image recognition technologies are combined with environmental sensors and the Internet of Things (IoT) for pest identification. Real-time agricultural meteorology and pest identification systems on mobile applications are evaluated based on intelligent pest identification and environmental IoT data. We combined the current mature A IoT technology and deep learning and applied it to smart agriculture. We used deep learning YOLOv3 for image recognition to obtain the location of Tessaratoma papillosa and analyze the environmental information from weather stations through Long Short-Term Memory (LSTM) to predict the occurrence of pests. The experimental results showed that the pest identification accuracy reached 90%. Precise positioning can effectively reduce the amount of pesticides used and reduce pesticide damage to the soil. The current research provides the location of the pest and the extent of the pests to farmers can accurately use pesticide application at a precise time and place and thus reduce the agricultural workforce required for timely pest control, thus achieving the goal of smart agriculture.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6200085374
Category: Books > Subjects > Science, Nature & Maths > Food & Farming > Horticulture
Domain: Amazon UK
Release Date: 31 March 2022
Listed Since: 24 April 2022

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LAP Lambert Academic Publishing Smart Agriculture and Insects

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It has never been this cheap. We have no record of a lower price.

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Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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