Description:[0018] Some embodiments of this disclosure, illustrating all its features, will now be discussed in detail. The words “comprising,” “having,” “containing,” and “including,” and other forms thereof, are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It must also be noted that as used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise.
[0019] Although any systems and methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present disclosure, the preferred, systems and methods are now described. Embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings in which like numerals represent like elements throughout the several figures, and in which example embodiments are shown. Embodiments of the claims may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. The examples set forth herein are non-limiting examples and are merely examples among other possible examples.
[0020] The present invention discloses the Drone-Based System for Measuring Actual Evapotranspiration (AET) that utilizes AI/ML for water auditing, satellite calibration for data consistency, cadastral maps for precise water use monitoring, KPI generation for irrigation practices, and cloud-based reporting for real-time data processing and decision-making.
[0021] FIG. 1 illustrates a block diagram of a Drone-Based System (100) for Measuring Actual Evapotranspiration (AET), according to an embodiment of the present invention.
[0022] In some embodiments, the system (100) comprises drones equipped with advanced ET sensors that fly over irrigated fields to collect real-time data on AET. Further, the sensors measure various parameters, including soil moisture, temperature, and humidity, to calculate the actual water used by crops. The drones follow pre-defined flight paths to cover extensive areas, ensuring comprehensive data collection.
[0023] In some embodiments, the collected data is processed using AI/ML models, via the at least one processor to analyze water consumption at the farm level. The models evaluate the quantity, timing, and variance of water usage from the optimal requirements of the crops. This analysis helps in identifying patterns of over-irrigation or under-irrigation, allowing for timely interventions to ensure crops receive the right amount of water.
[0024] Unmanned aerial vehicles present current information on water consumption and crop health for the immediate end Goal/determination by farmers or irrigation authorities. This is quite an improvement compared to EOS systems, which mostly experience delays in processing and therefore often present outdated data. The real-time insight thus enables timely adjustment in irrigation practices to prevent not only water waste but also water stress on crops.
[0025] In some embodiments, to enhance the accuracy of AET estimates, the system (100) performs calibration of satellite data with the drone-collected data. The calibration ensures consistency across multiple datasets, providing a fine-scale picture of water use patterns over extensive areas. The integration of satellite and drone data enhances the reliability of water usage estimates.
[0026] In some embodiments, the system (100) incorporates cadastral maps to monitor water use at the farm level. These maps provide detailed information about the specific plots of land, enabling precise tracking of water usage. This feature allows farmers and irrigation authorities to implement tailored irrigation solutions for optimal water use on each plot.
[0027] In some embodiments, the system (100) generates various Key Performance Indicators (KPIs) related to water usage, irrigation practices, and crop health. These KPIs help in spotting trends and changes in water consumption, monitoring crop growth, and ensuring that irrigation practices meet actual needs at all times. Examples of KPIs include water use efficiency, irrigation frequency, and crop yield.
[0028] In some embodiments, all data collected by the system (100) undergoes real-time processing and is delivered through cloud-based reporting platforms. This feature enables farmers and authorities to access current water-use data and generate reports for water accounting, resource management, and decision-making. The cloud-based platform ensures that data is accessible from anywhere, facilitating timely interventions and efficient water management.
[0029] In conclusion, the system (100) is a transformative solution to the challenges of agricultural water management. By using advanced ET sensors with AI and ML algorithms, drones offer real-time, accurate water consumption monitoring across large irrigated areas. This improves Actual Evapotranspiration measurement and resolves the limitations of current EOS systems affected by low resolution and delays under cloudy conditions. This system (100) empowers farmers, irrigation authorities, and governments to make data-driven decisions on irrigation, water use, and crop management. It provides key performance indicators like water auditing, crop monitoring, and over-irrigation analysis, enhancing Water Use Efficiency (WUE) and reducing waste
[0030] It should be noted that the discloses a Drone-Based System (100) for Measuring Actual Evapotranspiration (AET) in any case could undergo numerous modifications and variants, all of which are covered by the same innovative concept; moreover, all of the details can be replaced by technically equivalent elements. In practice, the components used, as well as the numbers, shapes, and sizes of the components can be of any kind according to the technical requirements. The scope of protection of the invention is therefore defined by the attached claims. , Claims:WE CLAIM:
1.A Drone-Based System (100) for Measuring Actual Evapotranspiration (AET), the system (100) comprises:
drones equipped with ET sensors for real-time data collection;
at least one processor operationally coupled with the at least one processor, wherein the at least one processor is configured to:
analyse the data collected by the drones using AI/ML models to audit water consumption at the farm level;
calibrate satellite to ensure consistency of data across multiple datasets;
generate key Performance Indicators (KPIs) related to water usage, irrigation practices, and crop health; and
process and deliver real time data through cloud-based platforms for efficient water management and decision-making.

2.A system (100) as claim in claim 1, wherein the at least one processor is integrated with cadastral maps to monitor water use at the farm level and provide tailored irrigation solutions