Papers by Priyanka Kumari
Precision agriculture (PA) and remote sensing (RS) are revolutionizing global farming practices b... more Precision agriculture (PA) and remote sensing (RS) are revolutionizing global farming practices by harmonizing agricultural productivity with environmental sustainability. This article synthesizes advancements in unmanned aerial vehicles (UAVs), satellite imaging, artificial intelligence (AI), and Internet of Things (IoT) systems that enable real-time crop monitoring, resource optimization, and ecosystem conservation. Through case studies spanning India, the United States, and sub-Saharan Africa, we demonstrate how PA technologies reduce irrigation water consumption by 30-50%, curtail fertilizer overuse by 40%, and lower greenhouse gas emissions by 25% through targeted interventions. UAV-driven multispectral imaging in India's Punjab region, satellite-guided variable-rate fertilization in the U.S. Corn Belt, and AI-powered drought prediction models in Kenya highlight scalable solutions for diverse agroecological zones. However, challenges such as prohibitive upfront costs, fragmented data literacy, and inadequate policy frameworks hinder equitable adoption, particularly among smallholder farmers. Emerging innovations-including AI-driven genomics for climate-resilient crops and blockchainenabled supply chain transparency-offer transformative potential to bridge these gaps. By aligning PA with the United Nations Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger) and SDG 13 (Climate Action), this work positions data-driven agriculture as a linchpin for achieving global food security while mitigating environmental degradation. The findings underscore the urgency of interdisciplinary collaboration, farmer-centric technology design, and policy reforms to accelerate the transition toward climate-smart, inclusive agricultural systems
Uploads
Papers by Priyanka Kumari