Integrated IoT (Internet of Things) System Solution for Smart Agriculture Management

• US 20180262571A1
• Filed: 03/07/2017
• Published: 09/13/2018
• Est. Priority Date: 03/04/2016
• Status: Active Grant

• Current Assignee: Sabrina Akhtar
• Original Assignee: Sabrina Akhtar
• Inventors: Akhtar, Sabrina
• Granted Patent: US 10,728,336 B2
• Time in Patent Office: Days
• CPC Class Codes: A01G 25/16 Control of watering
• CPC Class Codes: B64U 2101/00 UAVs specially adapted for particular uses or applications
• CPC Class Codes: B64U 2101/30 for imaging, photography or videography
• CPC Class Codes: B64U 2101/40 for agriculture or forestry operations
• CPC Class Codes: G05B 13/0275 using fuzzy logic only
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06Q 10/06313 Resource planning in a project environment
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/02 Agriculture; Fishing; Forestry; Mining
• CPC Class Codes: G16Y 10/05 Agriculture
• CPC Class Codes: H04L 67/025 for remote control or remote monitoring of applications
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks
• CPC Class Codes: Y02P 30/00 Technologies relating to oil refining and petrochemical industry

Abstract

Currently there is no viable end to end integrated technology solution platform available to increase overall crop yield nor well established communication platform nor infrastructure for agriculture management, logistics, storage, distribution and delivery.

This patent is offering a global solution to this problem where it will provide a consolidated and integrated IoT (internet of things) system platform with AI (artificial intelligence) where data collection, monitoring, control and communication platform are all managed using a single platform.

The utility model relates to the technical field of wireless sensing, specifically an agricultural IoT (Internet of Things) monitoring device based on optical fiber sensing, wherein the device can monitor the temperature, humidity, vibration and other parameters of an agricultural cultivation base. The device is characterized in that the device is provided with a microcontroller, a parameter recorder and the parameter recorder is connected with the sensors. For example: soil temperature sensor and humidity sensors, a soil moisture sensor, a soil conductivity sensor, an air temperature and humidity transducer, a soil salinity sensor, etc.

The upper computer is connected with the parameter recorder and the air temperature and humidity transducer through a communication circuit and using WiFi mesh network, data is transferred to a remote laptop or smartphone. Data is stored in cloud for predictive data analysis with AI and real time data analysis which automatically or remotely trigger proactive & preventive actions, thereby increasing crop yield, reduce water consumption and food waste during storage and streamlined logistics of food distribution to the market.

User has the option to control how often data is generated and the relevant information. User can set automatic trigger to manage proactive and preventive action on the control system. User can also remotely access and manual set future action either via smart phone or tablet based on actionable output from predictive data analytics.

This single integrated IoT system platform is providing end to end solution that is reliable, suitable and effective for agriculture, greenhouse, lawn/yard and garden (both indoor and outdoor) applications.

This integrated IoT system is also applicable in various sector such as: Geotechnical soil testing, Oil and Gas Industries (drilling, flow control, oil pipeline management, oil refineries management), Air quality and Waste management, Semiconductor fabrication and Chemical Plant management, Oceanography and atmospheric/environmental science data monitoring for global warming, Fisheries/Aquaculture management, Data center and Cloud device management, Enterprise sustainability management, Inventory, logistics and Supply Chain management and Infrastructure (road, bridges, tunnels, dams, airports, electric grid) management.

This integrated IoT system is also applicable to detect earthquake and tsunami where the sensor devices are embedded with multiple sensors installed in the buildings, bridges, bus stops, underground pits, lakes, roads, nearby mountains etc, different data can be captured and analyzed for earthquake predictability and structural integrity of the buildings to prevent collapse during earthquake, a smart alert is sent to mobile phones to authorities to minimize death and destruction.

Claims

a. a) An integrated IoT (Internet of Things) connected system comprising of hardware and software with artificial intelligence, this system uses wireless sensing capability to collect and monitor real time all agriculture, greenhouse, garden &

lawn output such as;

crop climate &

weather, field image data using kite, satellite or UAV (unmanned aerial vehicle) etc. on remote computers, laptop or handheld devices such as tablet or smartphone wherein data can be accessed both onsite or remotely

b. b) The integrated IoT system in claim (a) further characterized in that, the predictive analytics are performed using collected real time streaming data with artificial intelligence to model the data that is trained and hence generate the predictive data to automatically or remotely trigger proactive and preventive actions on the field. This automatic proactive and preventive action leads to higher yield, energy and cost savings, reduce water consumption and food waste which are not captured in the prior art.

c. c) The integrated IoT system in claim (b) comprised of added feature which is providing communication infrastructure and social media networking platform for connecting user to the local and overseas market and resources and is further comprised of optimizing logistics of food storage, food tracking and distribution and food delivery to the marketplace and consumers

d. d) The said integrated IoT system in claim (a), (b) and (c) cover diverse applications. The said IoT system is applicable for Geotechnical soil survey, geotechnical investigations, minerals exploration, geotechnical drilling including various soil testing to remotely provide actionable data that prompt user to take action

e. e) The said integrated IoT system are also applicable for air quality measurement data collection and hazardous waste material detection to provide user remote monitoring capability and actionable data output

f. f) The said integrated IoT system platform is further applicable for hydrocarbon detection in soil and sea water. The said integrated IoT system is applicable in oil drilling, monitoring pipelines and oil refinery management to provide remote monitoring with actionable result with a platform of integrated communications

g. g) The said integrated IoT system platform is applicable in Fisheries and Aquaculture management

h. h) The said integrated IoT system platform is usable in Semiconductor Fabrication Plant and Chemical Plant to monitor and provide actionable data to reduce equipment downtime and improve productivity

i. i) The said integrated IoT system platform is usable in Oceanography, atmospheric and environmental monitoring for global warming to provide useful and actionable data

j. j) The said integrated IoT system platform is also applicable to detect earthquake and tsunami, provide predictable analytics, structural integrity of the buildings and bridges, send smart alert to mobile phones to minimize death and destruction

k. k) Further to item (j) above, the said integrated IoT system platform also covers monitoring old infrastructure such as bridges, electric grid, dams, roads, tunnels, airports to determine structural integrity and maintenance ahead of time due to integration of predictive analytics using artificial intelligence with IoT

l. l) Further to item (h) above, the said integrated IoT system platform covers building and factory management for sustainability to reduce carbon footprint and tracking green house gas emission

m. m) The said integrated IoT system platform covers hardware device (bluetooth low energy beacon or sensors) communicating with user smartphone applications to give user location specific information (example use cases are:

museums, airports, ski resorts, hotels &

resorts, theme parks, zoo, farms, greenhouses, outdoor parks, conference &

events)

n. n) Further to item(c) above, the said integrated IoT system platform covers inventory management and inventory tracking, data center management &

asset maintenance

o. o) Further to item(c) above, the said integrated IoT system platform covers logistics and supply chain management