Precision agriculture encompasses several technologies such as guidance technologies, sensing technologies, analytics, and other precision technologies that reduce the misutilization of agri-inputs and enable efficient farming with profitability. The introduction of precision agriculture technologies has also resulted in the creation of hundreds of thousands of data points on farms. The rise in these data points has enabled data-driven farming, aiding the growers and consumers of agriculture products with insight-backed decision-making. However, the abundance of these data points has also left the agriculture industry plagued with massive amounts of data. To navigate through these big data in farms and to attain efficient farming solutions, the industry is bringing about significant product innovations in farm data analysis using artificial intelligence technology.
Artificial intelligence technology brings the concept of cognitive computing to agriculture, where the farm equipment intelligence is modeled on human intelligence. The capabilities enabled by this technology allow the farm equipment and solutions to interpret, acquire, and react to unpredictable farm situations with enhanced efficiency. Artificial intelligence technologies help farmers in optimizing their planning to generate profitable crop yields using predictable analytics for agri-input choices and farm process planning. For instance, AI technology has found use cases in crop disease detection, crop growth assessment, and crop yield prediction, preventing the over-application of fertilizers and other agri-inputs. The forecast of results for these agricultural processes in the market is powered by AI sensors and imaging equipment. The presence of these AI-based software and hardware products and services in the agriculture market has led to an optimistic growth of the precision agriculture market.
Although artificial intelligence technology has led to excitement in the whole industry, for agricultural AI players to quickly adopt the same and survive in the market, understanding the driving and restraint factors of the market is crucial.
The upcoming trend of artificial intelligence technology is not only prevalent in developed countries; developing countries have realized its importance as well. The upcoming trend of the use of artificial intelligence in agriculture has gained prevalence amongst the government of developed and developing countries. The governments of these countries have also realized the need and advantages of this technology, and thus their initiatives to promote AI is expected to further drive the growth of artificial intelligence in agriculture market.
However, there are certain challenges that prove to be a restraint in the growth of global artificial intelligence in agriculture market. The awareness and knowledge about newer technological advancements in the agriculture technologies such as artificial intelligence are yet to spread extensively amongst the growers, especially amongst those of the emerging countries. The lack of technical infrastructure in agriculture of developing countries and data privacy concerns among growers also act as a restraint in the market.
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