Artificial Intelligence (AI) in Agriculture - Thematic Intelligence

Artificial intelligence (AI) refers to software-based systems that use data inputs to make decisions on their own. With recent progress in machine learning (ML) on the back of improved algorithms (e.g., OpenAI’s GPT-3) and increasing computing power, AI is now able to solve real-life problems.

The publisher estimates the total AI market will grow from $81 billion in 2022 to $909 billion by 2030, growing at a compound annual growth rate (CAGR) of 35% over the period.

The report outlines the Impact of AI on the Agriculture Sector. AI will help farmers deliver precision agriculture solutions.
Precision agriculture requires a vast amount of data from onsite sensors and satellite imagery. This data can be quickly analysed using AI. Ultimately, this will help farmers make good, timely decisions about their crop or livestock management.

AI will also help in various agricultural management techniques that observe, measure, and respond to crops' inter- and intra-field variability for improved resource use and efficiency.
AI can further address the extreme variability inherent in the agricultural sector, exacerbated by climate change and geopolitical events. For example, it can be used to optimize farm planning, assess climate risks, handle disease management, and much more.
The recent impact of generative AI will also benefit the agriculture industry as it can be used from the operation of smart chatbots to the discovery of new seed variations.

Scope

The report provides a detailed analysis of the key challenges for the agriculture industry including climate change, geopolitics, disease, pressure on limited resources, environmental degradation, and much more. Along with the impact of AI in agriculture sector.
The report includes Market Size and Growth Forecasts for the AI market, split into its key platforms and services.
Evaluation of the Signals, AI value chain and Companies, which will help understand where to invest, explore, or ignore - for agriculture players.
The report identifies leading adopters of AI in the agriculture sector, the top specialist vendors for the AI in the agriculture sector, and cross-sector AI vendors.

Reasons to Buy

• Position yourself for success by understanding the ways in which AI can help to solve the major challenges for the agriculture industry.
• Identify the leading and specialist vendors of AI solutions for the agriculture industry.
• Discover what each vendor offers and who some of their existing clients are.
• Quickly identify attractive investment targets in the agriculture industry by understanding which companies are most likely to be winners in the future based on our thematic scorecard.
• Gain a competitive advantage in the agriculture industry over your competitors by understanding the potential of AI solutions in the future.