How artificial intelligence has the capability to enhance agriculture.

8. How artificial intelligence has the capability to enhance agriculture.

As per BI Intelligence Research, worldwide spending on intelligent, linked agricultural technology and systems, involving AI and machine learning, is expected to treble by 2025, reaching $15.3 billion. Expenditure on AI technologies and solutions alone in Agriculture is expected to increase from $1 billion in 2020 to $4 billion in 2026, representing a 25.5 percent compound annual growth rate (CAGR).

How Artificial Intelligence can Help Agriculture

Agriculture comprises numerous activities and phases, the vast majority of which are manual. AI can help with the most complicated and routine jobs by augmenting existing technology. When integrated with other technology, it can collect and evaluate large amounts of data on a digital platform, determine the right plan of action, and even execute that action.

The following processes can benefit from integrating artificial intelligence with agriculture:

Examining market demand

AI can assist farmers to find the most lucrative crops by simplifying crop selection.

Risk management

Prediction and data modeling can help farmers avoid mistakes in business processes and lower the chance of crop failure.

Seed breeding

AI can assist generate crops that are less susceptible to disease and better adaptable to environmental circumstances by gathering data on plant growth.

Soil health monitoring

Chemical soil studies may be performed by AI systems, and precise estimations of lacking nutrients can be provided.

Crop protection

AI can monitor plant health to detect and even anticipate diseases, detect and eradicate weeds, and offer effective pest control.

Crop feeding

AI is beneficial for forecasting the appropriate combination of agronomic goods and discovering optimal irrigation patterns and nutrient treatment periods.

AI results in cost savings

Precise agriculture is a farm control technique that can assist farmers to grow better crops with scarce assets. Precision agriculture AI-Powered has the potential to be the next big thing in farming. Precision farming blends the most effective soil management practices, variable rate technologies, and data management practices to assist farmers to optimise yields while minimizing spending.

AI can provide farmers with real-time field data, enabling them to detect regions that require irrigation, fertilizer, or pesticide treatment. Furthermore, innovative farming technologies such as vertical agriculture may assist improve food production while using fewer resources. As a result, herbicides are used less, harvest quality is improved, earnings are increased, and substantial cost savings are realized.


Harvesting can be automated and even predicted using artificial intelligence. Predictive analytics has the potential to be a true game-changer. Farmers can receive and analyze substantially more data with AI and do it much faster than they could otherwise. Farmers may use AI to handle critical difficulties such as market demand analysis, pricing predictions, and calculating the ideal timing for sowing and harvesting.

Artificial intelligence addresses labor shortages

Agricultural work is difficult, and labor shortages are not uncommon in this area. Farmers can use automation to tackle this issue. Self-driving tractors, intelligent irrigation and fertilization systems, efficient spraying, vertical farming software, and AI-based harvesting robots are just a few ideas of how farmers may get the job done without hiring more people. AI-powered farm tools are faster, tougher, and more precise than any human farm worker.


The advantages of artificial intelligence in agriculture are apparent. Smart farming tools and vertical farming systems can automate simple, repetitive, and time-consuming chores, freeing up farm workers’ time for more strategic operations requiring human intellect. It is crucial to note, however, that, unlike a tractor, AI cannot be purchased and started. AI is not something that can be touched. It is a collection of technologies that are controlled by programming.

Akhil Nair

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