Artificial Intelligence has the potential to transform the way we think about agriculture, allowing farmers to get greater outcomes with less work while also providing a slew of additional advantages. AI, on the other hand, is not a self-contained technology. AI in agriculture industry can augment currently established technology as the next stage on the path from traditional to innovative farming.

AI is capable to provide substantial advantages to tiny everyday tasks and ease farmers’ lives in a variety of ways. Robotics and automated technologies will, in many situations, eliminate the need for human decision-making and increase agricultural efficiency and health.

AI-based machine systems are unquestionably gaining traction in this industry, albeit slowly and gradually. Drones, robots, and other forms of technology are used to monitor crops, soil, plowing, weeding, irrigation, and other tasks. AI-powered solutions will not only allow farmers to serve more people with fewer resources, but they will also assist them in increasing yields and increasing the value of their products.

According to the worldwide AI market in agriculture was valued at $671.6 million in 2019 and is expected to reach over $11,200.1 million in 2030, indicating a 30.5 percent CAGR over the forecast period (2020-2030). In the AI in the agriculture industry, the precision farming segment produced the most income.

Artificial Intelligence in Agriculture: Some Use Cases

1. Classification of Banana Leaf Disease:

Crop diseases are one of the world’s leading causes of hunger and food poverty. Plant diseases are estimated to cause up to a 16 percent loss in agricultural yields globally. Plant disease detection may be done by looking for a spot on the afflicted plants’ leaves. Bananas are mostly endangered by two diseases.

The fungus Mycosphaerella fijiensis causes Banana Sigatoka. The symptoms begin with tiny chlorotic patches and progress to narrow dark streaks bordered by leaf veins.

Banana Speckle is a fungal disease that affects bananas. Its symptoms begin as little light brown patches that become larger and darker with time.

The procedure of identifying illness in banana leaves is now automated thanks to a computer vision application.

2. Automated irrigation

Water waste is a key disadvantage of traditional irrigation systems. Automated irrigation systems solve this problem. Many businesses have created a sensor-based smart irrigation system for efficient water consumption with the aid of modern technologies.

Soil moisture and temperature sensors connect directly with embedded components on the field in this system, ensuring that needed water is distributed across crops without the need for farmer intervention. This method aids in the maintenance of the ideal soil and water range in the root zone for plant growth.

3. Use of Drones

Drone technology is already a crucial element of precision agricultural operations in agriculture. Drone-collected data aids farmers in obtaining the highest potential harvests.

Drones are being utilized in agriculture in a variety of ways.

1. Crops Security

2. Monitoring field conditions

3. Fertilization

Anolytics: Helping hand in the Process

In order to implement quality AI-enabled models, high-quality training data is required so that machines can provide accurate results. Anolytics is well-known in the agriculture and farming industries for supplying high-quality training datasets for machine learning.

Anolytics maintains the precise levels of data labeling and ensures that the machine learning project has the right and quality data so that it can offer accurate results by using a team of highly experienced and competent specialists.

Conclusion

The use of AI technology will aid in the prediction of weather and other agricultural variables such as land quality, groundwater, crop cycle, and plant disease detection, all of which are significant issues.

 Agriculture might become semi-autonomous in the future, with artificial intelligence leading the way, as more awareness is raised and technology become more available to the common farmer.