Artificial Intelligence: Challenges and Opportunities in Agriculture
India suffers mostly from climate change, the recent pandemic, and supply chain disruptions. Despite these challenges, India has to solve the challenge of feeding a growing population. In this blog, we have explained the concept of Artificial Intelligence: Challenges and Opportunities in Agriculture in depth.
The agricultural sector of India has taken innovative initiatives to adopt for use of AI and other technologies. To monitor the health of their crops, perform quality control, and testing of soil fertility, Farmers are using technologies.
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Agriculture plays a pivotal role in India’s economy, with over 58% of rural households depending on it as their principal means of livelihood. The vision of the Artificial Intelligence for Agriculture Innovation (AI4AI) initiative is a commitment to improving the state of the farmers’ world, with the operating principle to “think big, start small and scale fast”. The initiative focuses on strengthening multi-stakeholder collaborations to analyze and exploit the opportunities and challenges of applying upcoming technologies to transform the agricultural landscape, in a way that is profitable and sustainable for farmers.
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The Artificial Intelligence for Agriculture Innovation (AI4AI) initiative was launched in August 2020 by the World Economic Forum’s Centre for the Fourth Industrial Revolution India, in active collaboration with the Government of Telangana and support from the Ministry of Agriculture, the National Institution for Transforming India (NITI) Aayog and the Ministry of Electronics and IT. The initiative now has 60-plus partners across the agriculture industry and emerging technology ecosystem, actively collaborating through weekly workshops from October 2020 to March 2021.
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Food and agriculture systems today are unsustainable for both people and the planet. They operate at a high environmental cost, waste large amounts of product and leave many producers in emerging markets at or below the poverty level. Stakeholders from all sectors and regions have recognized the urgent need for a fundamental transformation of food and agriculture systems. Such a transformation would create sustained social value and deliver greater equity to the most disenfranchised.
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Challenges faced by the agriculture sector include the following: – Small and marginal farmers (86% of farmers) own less than two hectares, causing unsustainable farm incomes and poverty; – Unsustainable farming practices, resulting in soil degradation and water stress; – Lack of datasets at farm, farmer and sector levels, leading to higher costs of services; – Gaps in market linkages, challenges in price discovery for farmers and price volatility in the market; – Lack of food processing, logistics and warehousing infrastructure close to farm gates, increasing wastage; – Challenges in financial and digital inclusivity; – Poor farm mechanization due to affordability challenges.
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Emerging technologies driven by the fourth industrial revolution, such as the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), big data, drones, and blockchain, are disrupting many industries, bringing rapid and large-scale change. Until now, the agriculture sector has been slow to harness the power of these technologies. Unlock the Future with AI! Enroll in our Artificial Intelligence Course in Pune. Learn from industry experts & gain practical skills to lead in the age of AI. Low adoption levels of emerging technologies in agriculture are due in large part to the complexity of the sector, which features small farm sizes, lack of telecoms infrastructure in rural areas, high regulatory burdens which raise costs, and revenues constrained by customers’ limited ability and willingness to pay
Author:
Vaibhav Joshi
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