SMART / Artificial Intelligence based Farming

AI in Agriculture

The global population, expected to reach 10 billion by 2050, is pressuring agriculture to boost crop production. Two strategies have emerged: expanding land use or adopting innovative practices and technology for greater productivity on existing farmland. Challenges like limited land, labor, climate change, and soil fertility push farming towards new innovative directions.

Modern agriculture, evolving from hand plows to high-tech solutions, offers constant advancements for efficiency and yield. However, the potential of artificial intelligence in agriculture remains largely untapped. Intellias, with over 20 years in the sector, has implemented technological solutions in quality control, traceability, and compliance. They now explore how these technologies can propel farming businesses forward.

Project Plan - Location

International Council for Virtual Education (Pvt) Ltd. (ICVE) is a company that provides education and secretarial services in Sri Lanka. We have been operating since 2010 and have established a reputation for quality and innovation in our fields. We have a network of partners and clients across the country and abroad, and we are committed to social responsibility and environmental sustainabilityWe are now seeking to expand our operations and diversify our portfolio by launching a new venture in livestock farming, growing of vegetables, and ayurvedic products in Ampara District, Eastern Province of Sri Lanka. We have identified a plot of land that is suitable for our project, either in Erakkamam or Sammanthurai, and we are looking for investors and government support to acquire the land and start the project.

Our project aims to establish a modern and integrated farm that will produce high-quality and organic livestock, vegetables, and ayurvedic products for the local and international markets. We will use the latest technologies and best practices to ensure the efficiency, productivity, and sustainability of our farm. We will also create employment opportunities and contribute to the social and economic development of the region

Distribution of Land

This Project will contribute:

  1. Stop tears brought down by starvation and overcome the problems that affect civil society nationally.
  2. Contribute beyond on the Targets & Achievements of the highest level of expectation of the Country.
  3. Avoid the exploitation of Consumers and provide better employment working conditions and environments.
  4. Offer varieties of Milk and Dairy products for the Choices of Sri Lankan Citizens & for the Outsiders.
  5. Technological surveillance programs to identify new trends in food consumption that will help Aalif to meet the most relevant expectations of its consumers.
  6. Quality, healthy, tasty Dairy products with hygienic standards to the nation and neighbor nations too.

Sustainable Roadmap

International Council for Virtual Education’s major Objective and Future plan is to support the nation building, thereby providing a substantial contribution to improve the Livestock production to an unexpected Output level, Improve the Welfare of the Livestock Industry, promoting exports of the Dairy product of the country. Provide Food and livelihood security to the rural population at the per capita availability.

Data-based decision-making for advanced agriculture

Raw data needs analysis to become valuable, requiring artificial intelligence (AI) analytics for data mining. AI, a newer technical field adopted by agricultural research and corporations, enhances human intelligence by developing theories, methods, algorithms, and applications. Due to the vastness and complexity of big data, beyond the capabilities of traditional processing systems, AI employs machine learning algorithms to extract meaningful insights.

In agriculture, AI is predominantly used to boost productivity and efficiency. Some AI applications in agriculture include yield prediction algorithms using weather and historical yield data, image recognition algorithms for detecting pests and diseases in plants, and robotics for crop harvesting. For instance, autonomous AI robots can harvest crops at a faster rate and higher capacity than human labor.

 

Although AI applications are emerging in agriculture, experts in our survey expect AI to have moderate (35%), substantial (33%), or significant (23%) impacts on the industry. These respondents foresee positive contributions from AI in agricultural machinery and logistics (90% agreement), market information (89%), plant breeding (81%), and risk management (71%).

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