AI, IoT BASED PRECISION FARMING AND GLOBAL TECHNOLOGY TRANSFER: AN INTEGRATED ANALYSIS
DOI:
https://doi.org/10.63458/ijerst.v4i2.158Keywords:
artificial intelligence, precision farming, IoT, smart agriculture, technology transfer, Israel, food security, machine learning, drip irrigation, ecological sustainability.Abstract
Global agriculture faces an existential inflection point: feeding ten billion people by 2050 while confronting accelerating climate disruption, finite water resources, and shrinking arable land. This paper presents an integrated scholarly synthesis of four complementary research perspectives: (I) artificial intelligence (AI) as a driver of crop productivity and ecological sustainability; (II) Israel's necessity-driven agricultural innovation model as a global blueprint; (III) the institutional mechanisms of Israel's agricultural technology transfer to China; and (IV) field-validated IoT-based precision farming architectures deployed at the smallholder scale in Kerala, India. Collectively, these perspectives demonstrate a compelling convergence — AI-mediated precision farming, distributed IoT sensor ecosystems, frontier genomic science, and structured international technology transfer are crystallising into intelligent, resource-efficient, and globally replicable agricultural systems. The paper presents five comparative tables and four statistical figures synthesising quantitative evidence across all four perspectives, alongside structured result analyses. Findings confirm that technology-driven agricultural transformation is an operational present reality, but that its equitable and universal deployment demands commensurate investment in institutional policy, education, finance, and governance.
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