Intelligent agricultural advancement is the need of the hour as it is essential to increase the yield and reduce wastage. It is estimated that by 2050, the world will need 60% more food than what is required today. The traditional methods of farming are no longer sufficient to meet this demand.
Intelligent agricultural systems help optimize the use of resources and increase the efficiency of production. So let’s look at how e-technology for agriculture can help farmers make better decisions.
The advancement of big data analysis?
Big data analysis is one of the most effective information technology applications in agriculture. It helps to draw insights from large data sets and make better decisions. For instance, a farmer can get real-time information about weather conditions, soil moisture content, etc. This information is crucial to deciding when to sow the seeds and how much water to give the crops.
Apart from that, big data analysis is ideal for tracking the trends in the prices of agricultural products and predicting the demand for a particular crop. This information is beneficial for farmers to decide what to grow and when to sell their produce.
Enhancement in farming technologies
By leveraging advancements like machine learning, farmers can get more accurate information about their crops. For example, machine learning algorithms can detect the early signs of pests and diseases. This information is essential to take preventive measures and save crops from being destroyed.
Another application of machine learning in agriculture is yield prediction. Farmers can use machine learning algorithms to predict the yield of their crops based on the current conditions. This information is beneficial for deciding how much seed to sow and what precautions to take to ensure a good yield.
Automated support system
The use of information technology can also help farmers to get automated support for their daily tasks. For instance, many software applications help farmers keep track of their inventory, finances, and crops. This information is critical to managing the farm effectively.
With artificial intelligence, these applications can also provide farmers with personalized recommendations. For instance, the application can suggest the best time to sow the seeds based on the weather conditions. This information is handy for making decisions that can improve production efficiency.
Digital agricultural communication
Another important application of information technology in agriculture is communication. Farmers can use digital platforms to communicate with each other and exchange information. This information is beneficial for learning about new methods of farming and the latest developments in the field of agriculture.
Digital agricultural communication also helps farmers connect with buyers and sell their produce directly. This information is critical to get the best price for their products and improving their financial condition.
The use of information technology can help farmers make better decisions and improve their efficiency. By leveraging big data analysis, farming technologies, and automated support systems, farmers can increase their yield and get the best price for their products.