Implementation of Technology for Modern Management of Agriculture Field Impacting the Socio-Economic Condition of Pakistan

Clicks: 1
ID: 313190
2023
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #628 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
This research focuses on implementing modern techniques involving technology for the better management of agriculture fields contributing to the betterment of socioeconomic condition of Pakistan. An AI-based smart agriculture system that uses sensor technology for real-time field monitoring and supports both automated decision-making and human user control. The system uses sensor links to collect current information on a range of predictors, such as humidity, temperature, soil moisture, and crop health then sends it to the database so that it can be shown on the website. With the help of these sensors, the field is continuously monitored, giving users knowledge of the factors influencing crop growth. AI algorithms are used to interpret and analyze the data that has been acquired, giving the system the ability to automatically decide how best to allocate resources like water and pesticides. To deliver timely and accurate treatments, AI algorithms consider elements such as crop water requirements, illness detection, and insect infestations. Users can take an active role in decision-making because of the system's manual user control features. Users have the option to override automated judgments and make human adjustments depending on their knowledge and preferences through a user interface. This feature offers flexibility and gives users the ability to modify the system's operations to suit their requirement.
Reference Key
imported_1777059669_69ebc755965a3 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kamran Khan
Journal Journal of Computing & Biomedical Informatics
Year 2023
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/297
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.