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All Journal International Journal of Applied Economics, Accounting and Management (IJAEAM)
Madrewar, Shivam Satyawan
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Climate Change and Indian Grapes: Analyzing the Economic Impact on Export-Dependent Agriculture (2022-2023) Madrewar, Shivam Satyawan; Shrishty, Apurva; Sathe, Snehal Netaji; Tavhare, Prathamesh Balasaheb; Suryawanshi, Om Vijay; Kulkarni, Bhakti Balavant
International Journal of Applied Economics, Accounting and Management (IJAEAM) Vol. 2 No. 4 (2024): July 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaeam.v2i4.2324

Abstract

This study examines the impact of climate change on India's export-dependent grape industry, focusing on the 2022-23 season. The 2022-23 season was marked by climatic anomalies that adversely affected grape yields and quality, leading to substantial economic losses for both farmers and exporters.During the 2022-23 season, average temperatures in key grape-growing regions increased by 1.5°C above the long-term norm during critical growth periods. This temperature rise accelerated the ripening process, resulting in smaller berries with lower sugar content, which diminished fruit quality. Additionally, unseasonal rains in October 2022 and February 2023 exacerbated the situation by causing fungal diseases, waterlogging, and grape splitting, further compromising the crop. The study reveals a 12% decline in grape production in Maharashtra, with total production dropping from 2.8 million metric tons in 2021-22 to 2.5 million metric tons in 2022-23. This reduction was mirrored by a 15% decrease in grape export volumes, from 280,000 metric tons to 238,000 metric tons, and an 18% decline in export value, from USD 335 million to USD 275 million
Climate Change and the Future of Indian Organic Agriculture in International Trade Madrewar, Shivam Satyawan; Khadkikar, Nimisha Ravindra; Katkar, Rohit Chnadrakant; Suryawanshi, Om Vijay; Kapare, Shreya Sharad
International Journal of Applied Economics, Accounting and Management (IJAEAM) Vol. 2 No. 4 (2024): July 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaeam.v2i4.2331

Abstract

This study explores the complex relationship between climate change and Indian organic agriculture, with a particular focus on its implications for international trade.Organic farming in India has witnessed significant growth, driven by increasing consumer demand for organic products both domestically and globally. India, with its diverse agro-climatic conditions, has the potential to be a major player in the global organic market. The paper provides a comprehensive analysis of the current state of organic agriculture in India, including production levels, yield variability, and export performance. It highlights the specific challenges organic farmers face due to climate change, such as water scarcity, soil degradation, and pest and disease pressures, which are exacerbated by climatic fluctuations. Using data from Indian government sources and recent research, the paper presents a detailed assessment of the trends and impacts of climate change on organic farming
Digital Agriculture: Impact of IoT and AI on Indian Agribusiness Madrewar, Shivam Satyawan; Khadkikar, Nimisha Ravindra; Suryawanshi, Om Vijay; Mulani, Jasmin Shakil; Sagar, Ajay Rajaram
International Journal of Applied Economics, Accounting and Management (IJAEAM) Vol. 2 No. 4 (2024): July 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaeam.v2i4.2346

Abstract

This research explores the impact of IoT and AI on various aspects of Indian agriculture, including crop yield optimization, resource management, and market integration.IoT and AI technologies offer advanced solutions such as precision farming, automated irrigation, and predictive analytics, which can significantly enhance agricultural productivity and sustainability. IoT devices, including soil sensors, weather stations, and drones, provide real-time data that allows farmers to make informed decisions regarding crop management, pest control, and irrigation schedules. AI algorithms process this data to predict crop yields, optimize the use of inputs like water and fertilizers, and streamline supply chain management. This paper draws on data from government reports, including those from the Ministry of Agriculture & Farmers Welfare and the National Sample Survey Office (NSSO), to assess the effectiveness and adoption of these technologies across different regions of India.The findings of this research indicate that regions where IoT and AI technologies have been implemented have seen a noticeable increase in crop yield, ranging from 15% to 20%. These technologies have also led to a significant reduction in water usage, with automated irrigation systems optimizing water resources by up to 30%. Additionally, AI-driven market analytics have improved farmers' access to markets, helping them to secure better prices for their produce by predicting market trends and demands
Co-Authors Kapare, Shreya Sharad Katkar, Rohit Chnadrakant Khadkikar, Nimisha Ravindra Kulkarni, Bhakti Balavant Mulani, Jasmin Shakil Sagar, Ajay Rajaram Sathe, Snehal Netaji Shrishty, Apurva Suryawanshi, Om Vijay Tavhare, Prathamesh Balasaheb