Advances in Crop Monitoring Technologies: A Comprehensive Review

Agricultural optimization and food security rely on effective plant monitoring. This essay probes the evolution and comparative analysis of modern technologies that are revolutionizing agricultural monitoring. In this paper, we show how artificial intelligence (AI), machine learning algorithms, and drones combined with the power of IoT sensors (smart agriculture) along rural data collection using remote sensing technologies will help to improve precision farm management by understanding the pros and cons in implementing these AI-driven new tools into smart devices capable of supporting higher crop yields and higher efficiency. Through a review of case studies and market trends, this article delves into how these technologies provide farmers with real-time data, predictive analytics, and actionable insights. Moral, monetary, and ecological reverberations of bonding these advances universally are likewise discussed. Ultimately, this comparative study to develop resilient and sustainable food production systems through the inclusion of modern technologies is an important opportunity for many difficult socioeconomic and climatic issues.