Leveraging AI to Optimize Agricultural Productivity While Safeguarding the Environment and Human Health

The global population is projected to reach nearly ۱۰ billion by ۲۰۵۰, necessitating a ۷۰% 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 ۱۴۰ peer-reviewed sources from ۲۰۲۰ onward, sourced from Google Scholar and related databases, synthesizes AI contributions. Findings indicate that CropIn achieves ۲۰-۳۰% yield increases, ۳۰-۴۰% pesticide reductions, and ۲۵% 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 ۲۱% yield boosts in Telangana chilli farms and ۹% 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.

کلیدواژه ها:

artificial intelligence ، precision agriculture ، CropIn ، sustainability ، food security ، India