Field of the Invention
This invention relates to LoRa communication based, early detection system for smart bin of the food grain storage
Background of the Invention
EP3038054B1: The grain quality monitoring system is proposed to accurately estimate or determines the quality of bulk grain. System comprises of bulk grain image source, processor, controller, display and memory. Bulk grain image source comprises one or more devices configured to capture at least one image of bulk grain for analysis by system in determining quality of the grain. In one implementation, "bulk grain" refers to a mass of harvested product which when clean includes only grain of the particular intended crop being harvested, but which, when not clean, additionally includes some of broken grain, skinned grain, unthreshed grain of the intended crop, grain of unintended plants such as weeds or volunteer plants, and/or other non-grain elements such as chaff, hulls, sticks, stock, cobs, stems, pods, dirt or other foreign contaminants. In one implementation, a camera, such as an optical cam
Research Gap:
• This invention specifically focused on the quality of grains.
• Insect, fungus detection is not carried out in this invention.
• Wireless communication-based system is lacking.
US9779330B2: A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
Research Gap:
• This invention is limited to Image based quality monitoring system.
• Lack of early detection system to detect insects, fungus and moisture of food grain.
• Wireless communication protocol need to be implemented to provide real-time data.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is a system for the early detection of internal infestation of insect and fungus attack as well as moisture percentage of seed. Generally, in the houses, the large amount of the grains is stored in the large bins. The early detection of the insects and fungus is required through wireless network along with the moisture monitoring for avoiding spoilage of food grains.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
In this invention, a system for the early detection of internal infestation of insect and fungus attack as well as moisture percentage of seed. Generally, in the houses, the large amount of the grains is stored in the large bins. The early detection of the insects and fungus is required through wireless network along with the moisture monitoring for avoiding spoilage of food grains. A system, where the bin supervising unit (10-13) are placed inside the bin to detect the insects and fungus. The biosensors, moisture sensor, and acoustic sensor are placed according to the requirement. Incase if the insects and fungus is detected, then it immediately transmits the alerts to the grain management authority unit (20) through wireless communication i.e., LoRa communication to take necessary action. Furthermore, this information is also stored in cloud server for further surveillance and measures. In the process of monitoring the moisture, the moisture sensor identifies the percentage of moisture content in the food grains. In case if the moisture is above the threshold value, then it sends alerts to the grain management authority unit (20) to dry the grains manually. An automatic mechanism is provided to the bin, to let down the grains from the bins. The user is able to visualize the data of the bins through grain management authority unit (20). In current era we have simple kind of bins which are not providing the facility of detecting the infestation of insect, fungus attack and also moisture percentage in seed. Due to unscientific storage 10% of total food grain is damage by insect, rodents and microorganisms. Annually 14% million tones storages losses are estimated in India which was worth of Rs. 7,000 cores. Among these 7,000 cores near about Rs. 1,300 cores storage losses done by insects alone. So we need a smart type of storage bin which can provide early detection of internal infestation of insect and fungus attack as well as moisture percentage of seed.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein: In this invention, a system for the early detection of internal infestation of insect and fungus attack as well as moisture percentage of seed. Generally, in the houses, the large amount of the grains is stored in the large bins. The early detection of the insects and fungus is required through wireless network along with the moisture monitoring for avoiding spoilage of food grains. Figure 1 illustrates the working mechanism of the proposed system, where the bin supervising unit (10-13) are placed inside the bin to detect the insects and fungus. The biosensors, moisture sensor, and acoustic sensor are placed according to the requirement. Incase if the insects and fungus is detected, then it immediately transmits the alerts to the grain management authority unit (20) through wireless communication i.e., LoRa communication to take necessary action. Furthermore, this information is also stored in cloud server for further surveillance and measures. In the process of monitoring the moisture, the moisture sensor identifies the percentage of moisture content in the food grains. In case if the moisture is above the threshold value, then it sends alerts to the grain management authority unit (20) to dry the grains manually. An automatic mechanism is provided to the bin, to let down the grains from the bins. The user is able to visualize the data of the bins through grain management authority unit (20).
Figure 2 illustrates the Bin supervising unit (10-13), that will be positioned inside the bins to detect the insects, fungus and moisture content through acoustic sensor (93), biosensors (92), and moisture sensor (91). The information related to the insect and fungus detection and moisture content are communicated to the Grain management authority unit (20) through LoRa modem (97). A motor driver is connected to the lid of the bin to automatically spill out the grains for drying. All these actions are processed by the controller unit (90) based on input sensor data. Battery based power supply unit (94) is incorporated to the bin supervising unit (10-13) for providing power to work.
Figure 3 illustrates the grain management authority unit (20) that will be placed outside on the wall of the home to get alerts on LCD and to trigger alarm during the detection of fungus, insects and moisture content in the food grains. LoRa module (81) act as receiver unit, to receive the information from the bin supervising unit (10-13). A Wi-Fi module (85) is embedded additionally in this unit to visualize and store the data of the food grain bins on cloud server. The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Generally, in the houses, the large amount of the grains is stored in the large bins. The early detection of the insects and fungus is required through wireless network along with the moisture monitoring for avoiding spoilage of food grains. The working mechanism of the proposed system, where the bin supervising unit (10-13) are placed inside the bin to detect the insects and fungus. The biosensors, moisture sensor, and acoustic sensor are placed according to the requirement. Incase if the insects and fungus is detected, then it immediately transmits the alerts to the grain management authority unit (20) through wireless communication i.e., LoRa communication to take necessary action. Furthermore, this information is also stored in cloud server for further surveillance and measures. Bin supervising unit (10-13), that will be positioned inside the bins to detect the insects, fungus and moisture content through acoustic sensor (93), biosensors (92), and moisture sensor (91). The information related to the insect and fungus detection and moisture content are communicated to the Grain management authority unit (20) through LoRa modem (97). A motor driver is connected to the lid of the bin to automatically spill out the grains for drying. All these actions are processed by the controller unit (90) based on input sensor data. Battery based power supply unit (94) is incorporated to the bin supervising unit (10-13) for providing power to work.
ADVANTAGES OF THE INVENTION:
• Early detection of insects, fungus and moisture in food grains with sensors and wireless communication technology.
• Transmission of real-time data about the quality of food grains through sensors.
• Wireless communication is embedded to transmit the alerts of the bins.
• Sensor and LoRa modem based early detection system for the bin of food grain.
• Real-time alert and alarm generation based early detection system of the food grain bin.
• LoRa module and Wi-Fi module-based system for real-time transmission of alert during detection of insects and fungus.
• Cloud server inspired system for early detection and visualization of insects and fungus in food grain bin.

Claims:

1. A LoRa communication based, early detection system for smart bin of the food grain storage system is comprising with Bin supervising unit (10-13) comprises Controller Unit (90), Moisture Sensor (91), Bio Sensor for Fungus (92), Acoustic Sensor (93), Battery Supply Unit (94), Motor Driver (95), a lid (96), a LoRa module (97); wherein said bin supervising unit (10-13) are placed inside the bin to detect the insects and fungus;
insects and fungus is detected, then it immediately transmits the alerts to the grain management authority unit (20) through wireless communication i.e., LoRa communication to take action.
2. The system is claimed in claim 1, wherein information is also stored in cloud server for further surveillance and measures; and Bin supervising unit (10-13), is positioned inside the bins to detect the insects, fungus and moisture content through acoustic sensor (93), biosensors (92), and moisture sensor (91).
3. The system is claimed in claim 1, wherein information related to the insect and fungus detection and moisture content are communicated to the Grain management authority unit (20) through LoRa modem (97).
4. The system is claimed in claim 1, wherein motor driver is connected to the lid of the bin to automatically spill out the grains for drying.
5. The system is claimed in claim 1, wherein actions are processed by the controller unit (90) based on input sensor data.
6. The system is claimed in claim 1, wherein battery based power supply unit (94) is incorporated to the bin supervising unit (10-13) for providing power to work.