Mobile Application based IoT System for Integrated Farm Maintenance
*Title: Mobile Application based IoT System for Integrated Farm Maintenance
*Field of Invention: IoT Application
^Background Art including citations of prior art: There are no IoT based integrated farm maintenance system with the same set of sensors as presented here.
^Objective of invention (the invention's objectives and advantages, or alternative embodiments of the invention): The objective of the invention is to employ sensory modules to monitor the various parameters of the farm including the standing water level in cultivated land, well water level and weed growth through a mobile application. Fire sensor is incorporated in the barn to detect fire. The economy of the country heavily relies on animal husbandry for production of food and other products. It is easy to manage animals with technology employing sensors for monitoring them and their habitat. Here a mobile application based IoT system with sensors for monitoring integrated farms is presented. A set of sensors and a universal data acquisition system along with an IoT module for monitoring the stats of the farmland via a mobile application or/and website is presented here. IoT in agriculture uses robots, drones, remote sensors and computer imaging combined with continuously progressing machine learning and analytical tools for monitoring crops, surveying and mapping the fields and providing data to farmers for rational farm management plans to save both time and money. Precision Farming, Livestock Monitoring, Monitor Climate Conditions and Computer imaging of Crop cycles are the goals of the futuristic version of this invention. Farming has seen a number of technological transformations in the last decades, becoming more industrialized and technology-driven. By using various smart agriculture gadgets, farmers have gained better control over the process of raising livestock and growing crops, making it more predictable and improving its efficiency. Data collected by smart agriculture sensors, e.g. weather conditions, soil quality, crop's growth progress or cattle's health can be used to track the state of your business in general as well as staff performance, equipment efficiency, etc. Better control over the internal processes and, as a result, lower production risks can be achieved by employing IoT in agriculture. The ability to foresee the output of your production allows the planning for a better product distribution.

If the exact quantity of crops that are going to be harvested is known, the planning for selling all of them can be made and implemented.
* Summary of Invention:
This invention monitors four major aspects of the farm. In the outdoor cultivated area, multiple water level sensors are placed in the cultivated land to measure the water level in the fields and cameras are places to identify weed growth. When the fields are irrigated, it is very important to maintain various water levels for various crops. The standing water level is required to be precise for the best crop yield. Multiple water level measuring sensors placed at various places in the field give inputs which are taken and average calculated. From this value, the standing water level can be assessed. The camera sensor captures the crops in the field and sends the image data to a trained ensemble machine learning model that identifies the presence of weeds. Every camera maps a specific region of the cultivated land and an intimation message is given when weeds are identified in a specific region based on the camera numbering. A combination of CNN and classification algorithms is employed to identify weeds among crops. A multi-level water sensor is placed inside the well of the farm. Since most of the wells fill during the monsoon season, the level of the water in the well can be monitored throughout the year. Water can be irrigated to appropriate area of cultivated land based on the readings from the well water level sensor. The harvested crops are stored in the barn. The very nature of harvested crops is dry. Therefore there is always a risk of these crops catching fire when stored in barns. In sub-tropical regions like India, during summer season, the risk of fire is very high. A set of smoke and fire sensors are places inside the barn. When there is a reading from any one of these sensors, a high alert message is sent to the mobile application or website. All the above mentioned sensors are integrated with the Electronic Control Unit of the system. The Electronic Control Unit has an integrated IoT module. This IoT module transmits the information to the mobile application of the authorized person or the integrated website.
* Detailed description of the invention:
As shown in Figure 1, the array of water level sensors (1) are placed in cultivated farm to measure the water level. The water level sensors are placed in a spread out manner in the cultivated land. The average of the measured values from these sensors is taken to assess the standing water level. An array of cameras (2) is placed with field of views covering the various sectors of the cultivated land. The multi-level water sensor (3) placed inside the well measures the water level continuously. The set of fire and smoke sensors (4) are placed inside the barn. All the above mentioned sensors are connected to the Electronic and Control Unit (5) which is integrated with an IoT module (6).

All the above mentioned sensors send the data to the electronic control unit. The Electronic Control Unit has the computing unit for data operations as well as the required data acquisition modules for the corresponding sensors. The gathered data is sent to cloud servers through the integrated IoT module. The data collected and stored here can be utilized for data analytics to yield very useful inferences. Artificial Intelligence and Machine Learning can be applied on the collected and pre-processed data for making useful inferences.