https://matjournals.net/engineering/index.php/JoWDWD/issue/feedJournal of Web Development and Web Designing2025-09-24T10:52:51+00:00Open Journal Systems<p><strong>JoWDWD</strong> is a peer reviewed journal in the discipline of Computer Science published by the MAT Journals Pvt. Ltd. It is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of Web Development and Web Designing. This journal involves the basic principles of Web development and Web Designing; where web development is a broad term for the work involved in developing a web site for the Internet (World Wide Web) or an intranet (a private network) and web design encompasses many different skills and disciplines in the production and maintenance of websites.</p>https://matjournals.net/engineering/index.php/JoWDWD/article/view/2475Eyes and Algorithms on the Field: A Novel Review of Machine Learning and Computer Vision in Precision Agriculture2025-09-24T10:52:51+00:00D. K. Mahalakshmi Devikelangianusha@gmail.comKelangi Anushakelangianusha@gmail.comSalendram Jayadeepkelangianusha@gmail.com<p><em>Precision agriculture integrates advanced sensing and analytical technologies to optimize crop management, reduce resource waste, and improve yield. This review examines the emerging role of Machine Learning (ML) and Computer Vision (CV) in transforming agricultural practices. By leveraging image-based data from drones, satellites, and ground sensors, CV enables automated crop monitoring, weed detection, disease diagnosis, and yield estimation. ML algorithms process this data to generate predictive insights, enabling site-specific interventions and efficient decision-making. The paper highlights state-of-the-art approaches, including deep learning models for plant health classification and object detection frameworks for precision spraying. Challenges such as data-set variability, environmental noise, and computational constraints are discussed alongside potential solutions. Furthermore, future trends point toward edge AI, multi-modal sensing, and climate-resilient crop analytics. This synthesis underscores the trans-formative potential of ML and CV, paving the way for sustainable, data-driven farming in the face of global food security challenges</em>.</p>2025-09-24T00:00:00+00:00Copyright (c) 2025 Journal of Web Development and Web Designing