Role of Artificial intelligence in Agriculture

Over the years, technology has redefined agriculture, and continuous advancements have had a wide-ranging impact on global agriculture and farmers. Agriculture is a common occupation in many countries around the world, and with a growing population, there will be tremendous pressure on land, with an additional 4% of land coming under cultivation by 2050.

Artificial Intelligence- Redefining Agriculture

This will put pressure on our farmers and governments to work harder with fewer resources. Farmers will be more productive and profitable with the same land area as technology advances and adoption increases.

Here are some of the most important AI interventions in agriculture.

Soil and crop monitoring

Some imagery-based AI models demonstrated near-lab accuracy in estimating soil content and SOM (Soil Organic Matter). Monitoring the stages of crop growth at various stages is critical once the crop is in the soil.

Understanding the various environmental conditions at each stage of crop growth is critical for making adjustments to protect the crop's health and yield. Based on satellite or drone imagery and various data points and statistical models, advanced AI models can aid in understanding soil and crop conditions.

Analytical Insights

According to reports, the number of data points collected on a typical farm will increase from 1, 90,000 to 4.1 million by 2050. Using a large number of data points aids precision farming. Data combined with AI models can assist in understanding minute details such as the best time to sow, this may be a minor input for the farmer, but it determines yield and profitability.

The use of AI models in conjunction with big data can aid in the proactive prediction of pests and diseases. Yield predictions and demand planning can assist farmers and governments in mapping crop supply and demand. AI models can aid in the prediction of human resource planning to reduce costs in labor-intensive tasks.

Also Read: Intelligent Technologies and Smart Farming- Cow Milking Machines

Automated Irrigation

Ai models predict water requirements using statistical methods and critical factors such as crop type, species, climatic data, temperature, soil moisture, soil type, and irrigation source. We can also eliminate the human error of approximation by using these AI models.

Advanced Ai automated irrigation systems can aid in the understanding and precise delivery of water. This saves water and results in a high yield. These systems can help save time and money while also increasing productivity.

Automatic Weeding

The robots are programmed to distinguish between weeds and crops and eliminate them with pinpoint accuracy, making them not only highly productive but also environmentally friendly. By doing so, we eliminate the need for herbicides, making the entire operation more efficient and productive.

Smart Harvesting

Farmers can forecast and equip for efficient harvesting with image-based trained Ai models that understand crop maturity with high accuracy.

Lastly, AI combined with big data and IoT can assist all stakeholders in the agriculture sector, including farmers, traders, and governments, in operating more efficiently and productively. This can also reduce and mitigate all potential risks while lowering losses and increasing yield.