The global population is expected to reach 10 billion by 2050, boosting agricultural demand by 50% during weak economic development compared to 2013. 

Approximately 37.7% of the total land area is devoted to agriculture. Agriculture is crucial in contributing to the national income and generating employment. It actively participates in developing countries' economies and substantially contributes to the economic prosperity of established nations. Due to agricultural expansion, the rural populace's per capita income has increased dramatically. Therefore, prioritizing the farm sector and allocating more resources is logical and appropriate. 

In nations such as India, the agricultural sector contributes to fifty per cent of the labour force and accounts for eighteen per cent of the gross domestic product. The advancement of the farm sector will catalyze rural development, which will precipitate a structural transformation in rural areas.

As a result of the introduction of technology, numerous industries worldwide have undergone a profound transformation. Unexpectedly, despite agriculture having the lowest level of digitization, there has been considerable progress in commercialising and advancing agricultural technologies. Artificial intelligence has significantly impacted our daily lives by expanding our perceptions and enabling us to alter our surroundings.

Applications

AI can fundamentally transform the agricultural industry, enabling farmers to attain superior outcomes with reduced exertion, among many additional advantages. Conversely, it is critical to specify that AI functions as a supplementary instrument that can enhance established agricultural methodologies. The integration of AI and agriculture holds potential advantages for the subsequent processes:

• Controlling Risk: Producers can minimize the risk of crop failures and process errors by utilising predictive analytics and forecasting.
• Seed Breeding: By accumulating data on plant growth, AI can facilitate the development of cultivars that are more tolerant to adverse weather conditions and resistant to diseases. 
• Controlling Soil Vitality: Chemical analysis of soil by AI systems can generate precise estimations of nutrient deficiencies.
• Safeguarding Crops: AI can detect disease, identify and remove vegetation, and recommend pest management. In addition, AI has the potential to streamline the process of crop selection and assist producers in identifying the most lucrative rows of land.

Conclusion

Although the advantages of AI in agriculture are apparent, its operation depends on the presence of other pre-existing digital technologies such as big data, sensors, and software. Similarly, other technologies rely on artificial intelligence to function effectively. In the context of big data, the data itself lacks inherent usefulness. The crucial aspect is how it is processed and put into action.

However, by improving routine farming operations and making farmers' life easier, technology can offer real benefits. We can enable sustainable farming techniques and successfully handle the present issues facing agriculture by utilizing AI.