Projects in Precision Agriculture with Hadoop

  This blog is for the candidates those have interest on the field of precision agriculture. In this blog, we illustrate about precision agriculture and the merge of this field with Hadoop. At the end we have a list of methods that operates in this area. It’s time to go through this blog.  

Precision Agriculture

  Precision agriculture is an advance farming system that presents to improve the way of productivity. The only goal of the farmers in agriculture is to promote the productivity by enhancing crop growth. The key for precision agriculture is 24/7 monitoring of the crop growth and soil condition. It can be before seeding and after seeding too. The monitoring leads to proper irrigation and removal of affected crops. This precision agriculture is beneficial for farmers to develop the income. In simple, this type of agriculture is smart agriculture that gives new inventions.

What are possible in precision agriculture?

• Fertilizer Selection
• Water Regulation
• pH Management
• Pesticide Detection
• Crop Selection
• Soil Condition Detection
• Rainfall Level Prediction
• Water Quality Monitoring

Why Precision Agriculture needs Hadoop?

  As we discuss about precision agriculture in the above, in this field, an agriculture area employs multiple types of sensors that helps to measure different surroundings as temperature, moisture, humidity, pressure and so on. These measurements have to be suitable for each crop so that it is able to improve crop growth. As per the use of many sensors, it collects a large data due to all time monitoring of an area.

  On behalf of this, Hadoop framework is in use to support precision agriculture. Hadoop uses Map-Reduce as a default process by which the speed is higher and able to manage massive amount of data. Only after the analysis of the data, it is possible to make decision regarding selection of crop, need for requirement, and etc. For the purpose of analysis algorithm is essential and using the report its takes decision.   

Methods supported in Hadoop for Precision agriculture

• Machine Learning
• Artificial Intelligence
• Deep Learning
• Supervised, Semi-Supervised Learning
• Cryptography Techniques
• Heuristic and Meta-Heuristic Approaches
• And Many More

  The above methods are not only upto this limit, it is also able to operate on other methods too. Our team guide you from the start of the project to the end with the satisfaction of all the requirements. We will give you support for topic selection too, since there are many topics in recent days and it is not easier to identify the best among it. It is very simple to join us through mail; we always give prompt response. Take a move and win your success from now.