• Kumkum Daga
• Prekha Dhar
• Ms. Toshi Jain

Abstract—Agriculture today faces multiple challenges, including crop stress, inefficient resource management, and environmental sustainability concerns. Farmers often struggle with excessive water usage, improper nutrient distribution, and unpredictable climatic conditions, leading to reduced yields and increased environmental impact. To address these issues, CropGuard has been developed as an AI-powered web platform that enables real-time crop stress monitoring and management. By analyzing critical parameters such as soil moisture, nutrient levels (nitrogen, phosphorus, potassium), temperature, humidity, light intensity, and plant health, the platform calculates real-time stress levels and provides customized recommendations for irrigation, nutrient application, and environmental adjustments. Beyond improving productivity, CropGuard incorporates a carbon footprint calculator, allowing farmers to assess and reduce their environmental impact by adopting sustainable agricultural practices. The integration of machine learning algorithms ensures adaptive recommendations, refining insights based on real-time data and past trends. Additionally, smart irrigation techniques optimize water usage, reducing waste while ensuring efficient crop hydration. By leveraging AI-driven analytics and precision farming techniques, CropGuard empowers farmers with data-driven decision-making tools, bridging the gap between traditional farming methods and modern sustainable agriculture. This innovative solution not only enhances crop yield and farm efficiency but also contributes to long-term environmental conservation, ensuring a balance between agricultural productivity and ecological sustainability.

Crop stress monitoring, precision agriculture, AI, machine learning, smart irrigation, sustainable farming, carbon footprint calculator, soil moisture analysis, nutrient management, real-time data analysis, environmental sustainability, IoT sensors, predictive analytics, fuzzy logic recommendation system, data-driven decision making, agricultural productivity, web-based platform, Flutter application, climate adaptation, resource optimization.

"CropGuard: Intelligent Crop Management for Farmers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.f916-f920, July-2025, Available :http://www.jetir.org/papers/JETIR2507609.pdf

"CropGuard: Intelligent Crop Management for Farmers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppf916-f920, July-2025, Available at : http://www.jetir.org/papers/JETIR2507609.pdf