Description:FIELD OF THE INVENTION

[0001] The present invention relates to cloud-based system for farm management for real-time farm monitoring to enable informed crop management, optimizing resource allocation, and improving yields. The system will also automate irrigation and pest control using data analysis, enhancing efficiency and productivity.

BACKGROUND OF THE INVENTION

[0002] The system for farm management centralizes all agricultural data, from real-time sensor readings on soil conditions and weather to historical crop performance and equipment logs, allowing farmers remote access and control from any internet-connected device. By storing and processing vast amounts of data in the cloud, it facilitates advanced analytics for optimal irrigation, pest predictions, and yield forecasting, enabling proactive decision-making, automating tasks, and minimizing resource waste. This ultimately enhances efficiency, reduces manual labor, and drives increased productivity and profitability across diverse farming operations.

[0003] Traditional farming methods often rely on manual observation and labor-intensive processes, leading to significant limitations. Farmers traditionally make decisions based on experience or visual assessment, which can be inaccurate and reactive rather than proactive. This results in inefficient resource utilization, such as over-irrigation or excessive pesticide use, leading to water waste, soil degradation, and environmental impact. Moreover, the lack of real-time data makes it difficult to detect issues like pest infestations or nutrient deficiencies early, causing delayed responses, higher crop losses, and inconsistent yields. This manual approach is also labor-intensive, limiting scalability and increasing operational costs, thus hindering overall productivity and profitability.

[0004] WO2015001538A2 discloses a present invention relates to a farm and herd management system which enables automated exchange of data between different farms through a single gateway installed in each farm and the cloud based herd management system which can be accessed via Internet/Mobile Network, avoiding the need of manually entering the data and facilitates less use of infrastructure like PC'S and bandwidth for Internet connectivity. The present invention comprises of different modules, data analytic module, an alert and notification module, a two-way communication module, a data security module and a business report generation module. The present invention manages diary/farm related activities and aids the end users to perform any work related to farm with greater efficiency and provides automated exchange of data between the server hosted in cloud which may be accessed via Internet/Mobile Network and gateways deployed in farm.

[0005] CN106305371A discloses a cloud-based agricultural Internet of things production and management system. The cloud-based agricultural Internet of things production and management system comprises a farmland production environment monitoring subsystem, a data analysis expert subsystem, a farmland ecological information publishing subsystem and an irrigation control subsystem, wherein the data analysis expert subsystem and the farmland ecological information publishing subsystem are arranged on a public cloud; the irrigation control subsystem and the farmland production environment monitoring subsystem are arranged on a private cloud. By adopting the system, the land surface temperature, soil moisture, video information and PAR (photo synthetically active radiation) index of a multi-user agricultural production place can be monitored comprehensively; farmland information is transmitted through ZigBee and GPRS (General Packet Radio Service), so that data analysis and processing can be performed, analysis and publishing of agricultural condition information are realized, an irrigation instruction can be issued according to a crop demand, and local irrigation of a farmland is realized through an automatic irrigation subsystem according to the irrigation instruction.

[0006] Conventionally, many systems are available in the market for farm management but current systems often lack real-time monitoring, leading to reactive decisions and inefficient resource use. They rely on manual irrigation and pest control, increasing labor and waste, and miss proactive optimization from predictive analytics, hindering maximized agricultural productivity.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system provides real-time monitoring, automates irrigation and pest control, and uses predictive analytics to optimize resources, improve crop yields, and maximize farm profitability.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a system that is capable of enables real-time monitoring of farm conditions to support timely and informed decision-making for crop management, thus optimizing resource allocation, mitigating risks, and ultimately improving crop yields.

[0010] Another object of the present invention is to develop a system that is capable of automate irrigation and pest control processes based on analyzed data to improve resource efficiency and reduce manual intervention, therefore leading to optimized resource utilization and increased overall farm productivity.

[0011] Yet another object of the present invention is to develop a system that is capable of utilize predictive analytics to recommend optimal farming actions using real-time and historical data for enhanced crop health and yield, thus enabling proactive decision-making, minimizing resource waste, and ultimately maximizing agricultural productivity and profitability.

[0012] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0013] The present invention relates to a cloud-based system for farm management aims to automate irrigation and pest control via data analysis, improving resource efficiency and reducing manual work for increased farm productivity. Additionally, the system employ predictive analytics from real-time and historical data to recommend optimal farming actions, enhancing crop health and maximizing agricultural profitability.

[0014] According to an embodiment of the present invention, a cloud-based system for farm management, comprising a network of sensor nodes that collect environmental data from a farm, a central hub that wirelessly gathers data from the sensor nodes, a cloud platform that analyzes data and generates control instructions, actuators that automatically control irrigation and pesticide application based on the analyzed data, wherein the sensor nodes, central hub, and cloud platform communicate wirelessly to enable real-time crop monitoring and management, a mobile application that displays data and allows farmers to manage farm operations, the sensor nodes are battery-powered and use low-power wireless protocols to operate continuously in the field, the cloud-based platform applies predictive analytics to recommend irrigation and pest control actions based on real-time and historical data, the gateway device uses Wi-Fi or LoRa protocols to ensure reliable data transmission to the cloud platform, the actuators include drip irrigation valves and pesticide sprayers controlled remotely through the cloud platform and the mobile application provides real-time alerts and recommendations based on environmental data analysis.

[0015] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0016] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a block diagram depicting workflow of a cloud-based system for farm management.

DETAILED DESCRIPTION OF THE INVENTION

[0017] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0018] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0019] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0020] The present invention relates to a cloud-based system for farm management for real-time farm monitoring to enable informed crop management, optimizing resource allocation and improving yields. The system also leverages predictive analytics from real-time and historical data to recommend optimal farming actions, enhancing crop health and maximizing agricultural profitability.

[0021] Referring to Figure 1, a block diagram depicting workflow of a cloud-based system for farm management is illustrated, comprising a sensor node, central hub, cloud platform-data analyzes and control irrigation and pesticide application.

[0022] The present invention relates to a cloud-based farm management system designed to enhance agricultural efficiency through real-time monitoring, automated decision-making, and remote control of farm operations. This innovative system integrates a network of sensor nodes, a central hub, a cloud platform, actuators, and a mobile application to provide farmers with a comprehensive solution for precision agriculture. By leveraging wireless communication, predictive analytics, and automation, the system optimizes crop management, reduces resource wastage, and improves yield through data-driven insights and real-time control.

[0023] The system comprises five key components that work seamlessly to monitor and manage farm operations. The first component is a network of battery-powered sensor nodes deployed across the farm to collect critical environmental data. These sensors measure parameters such as soil moisture, temperature, humidity, light intensity, and pest presence. Designed for continuous operation in harsh field conditions, the sensor nodes utilize low-power wireless protocols, such as ZigBee or Bluetooth Low Energy (BLE), to ensure energy efficiency and prolonged battery life. This enables reliable, long-term data collection without frequent maintenance, making the system practical for large-scale agricultural applications.

[0024] The second component is a central hub that serves as the communication bridge between the sensor nodes and the cloud platform. The hub wirelessly gathers data from the sensor nodes using low-power protocols and aggregates it for transmission to the cloud. To ensure robust and reliable data transfer, the hub employs Wi-Fi or LoRa (Long Range) protocols, which are well-suited for long-distance communication in rural farm settings. The central hub is strategically placed to cover the entire farm, ensuring seamless connectivity between the field sensors and the cloud infrastructure, even in areas with limited network coverage.

[0025] The third component is a cloud-based platform that processes and analyzes the data collected from the sensor nodes via the central hub. This platform employs advanced predictive analytics to interpret real-time and historical data, generating actionable insights for farm management. By analyzing trends in soil moisture, weather patterns, and pest activity, the platform predict optimal irrigation schedules and pest control measures. For instance, it forecast periods of drought or pest outbreaks, enabling proactive interventions. The cloud platform also generates control instructions for automated farm equipment, ensuring precise and timely responses to environmental changes. This data-driven approach minimizes resource overuse, such as excessive water or pesticide application, promoting sustainable farming practices.

[0026] The fourth component consists of actuators that execute the control instructions issued by the cloud platform. These actuators include drip irrigation valves and pesticide sprayers, which are remotely controlled to deliver water and pest control agents with high precision. For example, drip irrigation valves adjust water flow based on real-time soil moisture data, ensuring crops receive optimal hydration without wastage. Similarly, pesticide sprayers target specific areas of the farm where pest activity is detected, reducing chemical usage and environmental impact. The actuators are integrated with the cloud platform via the central hub, enabling fully automated, real-time responses to changing field conditions.

[0027] The fifth component is a mobile application that empowers farmers to monitor and manage farm operations remotely. The application provides a user-friendly interface displaying real-time environmental data, such as soil moisture levels, temperature, and pest alerts. It also delivers actionable recommendations based on the cloud platform’s predictive analytics, such as optimal times for irrigation or pest control. Farmers use the app to manually override automated controls, adjust settings, or receive alerts about critical conditions, such as sudden weather changes or equipment malfunctions.

[0028] The integration of these components creates a cohesive system that enables real-time crop monitoring and automated decision-making. The sensor nodes and central hub provide continuous data collection and transmission, while the cloud platform processes this data to deliver precise control instructions to the actuators. The mobile application ensures farmers remain informed and in control, bridging the gap between automated systems and human oversight. By combining low-power wireless technology, predictive analytics, and automation, this cloud-based farm management system offers a scalable, efficient, and sustainable solution for modern agriculture, empowering farmers to optimize resources, enhance crop health, and increase productivity.

[0029] The present invention work best in the manner, where the innovative farm management system operates by integrating five key components for seamless precision agriculture. The network of battery-powered sensor nodes continuously collects critical environmental data like soil moisture, temperature, and pest presence using low-power wireless protocols. This data is then wirelessly gathered by the central hub, which acts as the communication bridge, aggregating and transmitting it to the cloud-based platform using Wi-Fi or LoRa for robust, long-distance transfer. The cloud platform, leveraging advanced predictive analytics, processes this real-time and historical data to generate actionable insights, forecasting optimal irrigation schedules and pest control measures, and issuing precise control instructions. These instructions are executed by the actuators, which include drip irrigation valves and pesticide sprayers, ensuring automated, precise delivery of resources. Finally, the mobile application provides the farmer with a user-friendly interface to monitor data, receive recommendations, and remotely manage or override automated controls, ensuring informed decision-making and continuous oversight. This integrated system optimizes crop management, reduces resource wastage, and ultimately improves yield through data-driven insights and real-time control.

[0030] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A cloud-based system for farm management, comprising:

i) a network of sensor nodes that collect environmental data from a farm;

ii) a central hub that wirelessly gathers data from the sensor nodes;

iii) a cloud platform that analyzes data and generates control instructions;

iv) actuators that automatically control irrigation and pesticide application based on the analyzed data, wherein the sensor nodes, central hub, and cloud platform communicate wirelessly to enable real-time crop monitoring and management; and

v) a mobile application that displays data and allows farmers to manage farm operations, wherein the system supports real-time monitoring and automated decision-making.

2) The system as claimed in claim 1, wherein the sensor nodes are battery-powered and use low-power wireless protocols to operate continuously in the field.

3) The system as claimed in claim 1, wherein the cloud-based platform applies predictive analytics to recommend irrigation and pest control actions based on real-time and historical data.

4) The system as claimed in claim 1, wherein the gateway device uses Wi-Fi or LoRa protocols to ensure reliable data transmission to the cloud platform.

5) The system as claimed in claim 1, wherein the actuators include drip irrigation valves and pesticide sprayers controlled remotely through the cloud platform.

6) The system as claimed in claim 1, wherein the mobile application provides real-time alerts and recommendations based on environmental data analysis.