December 2024
Intermediate to advanced
400 pages
10h 50m
English
book
Computer Vision in Smart Agriculture and Crop Management
by Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Prithi Samuel, Malathy Sathyamoorthy, Ali Kashif Bashir
Content preview from Computer Vision in Smart Agriculture and Crop Management
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14An Effective Study on the Machine Vision-Based Automatic Control and Monitoring in Furrow Irrigation and Precision Irrigation
Manikandan J.1*, Saran J. U.2, Samitha S.2 and Rhikshitha K.2
1Department of Information Technology, St. Joseph’s College of Engineering, OMR, Chennai, India
2Department of Computer Science and Engineering, Rajalakshmi Engineering College, Thandalam, Chennai, India
Abstract
Water is an essential natural resource for sustainable living for all life forms on Earth. Water has become a scarce natural resource, and water usage in agriculture is a limited factor. In agriculture, without proper irrigation, farmers would be entirely reliant on natural rainfall, which may not be sufficient to meet the water needs of crops. Reduced yields, crop failure, and ultimately food instability can result from this. Irrigation has grown in significance due to climate change and unpredictable weather patterns for preserving agricultural output and guaranteeing food security. Population growth has led to increased crop demand, underscoring the importance of employing smart irrigation techniques that leverage machine vision. Smart irrigation combines hardware components, software apps, and various technologies; machine learning technology plays an essential role by harnessing data for optimizing irrigation systems to enhance their performance and enhance results. To overcome these challenges, we need to focus on efficient usage of water such as precision irrigation and ...
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