چکیده مقاله
The global population is projected to reach nearly 10 billion by 2050, necessitating a 70% increase in food production amid climate change, resource scarcity, and environmental degradation Artificial intelligence AI emerges as a critical technology for enhancing agricultural productivity, promoting environmental sustainability, and protecting human health, particularly through platforms such as CropIn in India This article examines CropIn's AI solutions for crop monitoring, pest management, and precision agriculture to assess their transformative impacts A systematic literature review of over 140 peer reviewed sources from 2020 onward, sourced from Google Scholar and related databases, synthesizes AI contributions Findings indicate that CropIn achieves 20 30% yield increases, 30 40% pesticide reductions, and 25% water savings, balancing productivity with reduced environmental pollution and health risks from chemical exposure Case studies from Indian regions, including Andhra Pradesh's pest warning system and Bihar's climate advisory, demonstrate efficacy, with metrics such as 21% yield boosts in Telangana chilli farms and 9% input reductions Barriers, including digital literacy and costs, persist, yet implications underscore policy needs for scaling AI to ensure food security, ecosystem preservation, and public health Future research should prioritize equitable Al access for smallholders in developing nations
کلیدواژهها
نویسندگان
Hanieh Touhidinia
Andhra University
شیوه ارجاع
Touhidinia, Hanieh,1404,Leveraging AI to Optimize Agricultural Productivity While Safeguarding the Environment and Human Health,Ninth International Conference on Interdisciplinary Studies in Food industry and Nutrition Science of Iran,Tehran
ارائهشده در
مجموعه مقالات نهمین همایش بین المللی مطالعات میان رشته ای در صنایع غذایی و علوم تغذیه ایران29 آبان 1404 · تهران