Integrating High-Throughput Plant Phenomics and Artificial Intelligence for Precision Agriculture

Tripathi, Anurag and Ranjan, Rajeev (2025) Integrating High-Throughput Plant Phenomics and Artificial Intelligence for Precision Agriculture. Food and Scientific Reports, 7 (1). pp. 25-30. ISSN 2582-5437

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Abstract

The human population projected to reach 9.7 billion by 2050, addressing the escalating food demand necessitates a substantial increase in crop production amidst challenges posed by climate change. Agriculture faces significant hurdles in adapting to shifting climate patterns induced by rising greenhouse gas emissions, particularly affecting farmers in low-income countries. Sustainable intensification through modern cultivation techniques and resilient crop varieties emerges as a crucial strategy to enhance yields while minimizing environmental impact. The evolution from traditional agricultural practices to Agriculture 4.0 integrates cutting-edge technologies like AI, robotics and precision agriculture, revolutionizing field management and supply chain optimization. Ground-based and aerial-based platforms offer distinct advantages and challenges, underscoring the need for adaptive strategies in agricultural phenotyping. In this era of digital agriculture, high-throughput phenotyping emerges as a critical tool in ensuring food security and sustainability amid a changing climate and growing global population.

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