Year: 2025
Type: article
Abstract: Productivity, sustainability, and expedited market access are critical challenges confronting agriculture. This study utilizes cutting-edge technologies that encompass machine learning and data analytics, to forecast crop yields to recommend the most suitable crops, and enhance farming techniques. Resource efficiency is improved by using accurate and smart agricultural techniques, which reduces the environmental impact on production. In addition, this technology simplifies export processes so that farmers can participate in global trade. This initiative, known as Agro-Innovate 360, symbolizes a progressive agricultural platform that benefits from innovation to increase productivity, stability and market access.
Author: Srijita Bhattacharjee
Institution: University of Mumbai
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4409675680