Artificial intelligence and farming improvements

Published Categorized as Artificial Intelligence
Artificial intelligence and farming

Artificial intelligence has revolutionized almost every walk of life. Whether it is the medical field, education, industry, or agriculture sector, all are reaping the fruits of AI.  In this regard, artificial intelligence and farming improvements, which are increasing day by day, can not be neglected. From the analytics of crops to the information of insects, AI covers all the aspects of the agriculture sector. In the same context, precision farming, management of the crops, and real data analysis enable farmers to make the right decision. Ultimately, it multiplies the production that can solve the issues of food shortages and the economic crisis of the countries.

 Moving on, this technology can also help to identify the areas where fertilization is needed or any other irrigation. In simple words, AI can help farmers in the whole process of framing. In this regard, you can read more in this article. 

AI  helps to resolve the issues of labour shortage in farming

Artificial intelligence can help to resolve the issues of labour shortages.  In conventional farming, labour is the major factor that can help to increase the yield. However, in most cases, this method may not be effective as there are many errors that human labour can commit. For example, a labourer may wrongly distribute the fertilisers as compared to an AI-based fertilisers system. In addition, driverless tractors, smart spraying and harvesting robots are the prime examples that can minimise the labour cost. Moving on, this also reduces the labour shortages and gives accurate results in the context of production.   

It gives the accurate insights

The aforementioned technology can give accurate insights according to the data which have been provided to the algorithms. On the basis of that data, artificial intelligence gives accurate insights that help farmers to make decisions about their crops. For example, the data can provide the analysis of the soil fertility or suitability of crops, for the growth, to grow at a particular soil.  

Agriculture risk management and the role of AI

Artificial intelligence can solve the risk even before they occur. For example, the algorithms can predict the diseases of the crops even before they catch the crop. Further, it can also decrease the other risks that can have adverse effects on yield. 

Satellite based mapping system can give the better understanding of the crops 

The satellite-based mapping system can give maps of crops. From that map, the farmers can understand the density of the crops and all about the other things like the colour of the crop. This mapping system is very effective as it can guide the farmers in the context of the whole farming procedure. 

AI can make the better irrigation system and resolve the issue of water leakage

Owing to climatic changes, many countries are facing the issue of water scarcity. So, this creates the problem of farming. Furthermore, it is also a calculated task to understand the crops’ water requirement. In this context, linear programming is used to calculate the water requirements of a crop. Further, it can also minimise the leakage issues of the water in the context of the irrigation process. Hence, it is valuable to use AI for a better irrigation system. 

Concluding remarks about artificial intelligence and farming

AI is helping to enhance the yields and it is also modernising the whole agriculture sector. From the information of the seed to the growth of crop and at the end overall production, algorithms are covering all the aspects. So, this will help to grow the agriculture sector globally. Further, it will also eradicate the issues of food shortages.


Leave a comment

Your email address will not be published.