Description:Field of Invention
This invention relates to the agriculture sector to protect the crops from birds. This invention integrates the artificial intelligence with Drone technology to scare the birds from crops at their ripening stage. More particularly, this invention helps in the improvisation of yield sin crops by avoiding the damage due to birds.
The objectives of this invention

The main objective is to develop an autonomous UAV bird scaring system for agriculture. The suggested system includes the design of UAV flying at optimal height, Bird detection through machine learning algorithms, and Activation of a vibrator through the sensor. To make the UAV fly at an optimal height by escaping from several obstacles like terrains, length trees, etc., we propose an automatic static object detection and height adjustment approach. In this approach, the UAV makes itself to fly at an optimal height by sensing the static objects like terrains, length trees, etc.

Background of the invention
Agriculture is one of the important sectors of economic development of the India. According to the World Bank collection of development indicators, compiled from officially recognized sources, the total area under cultivation in India is approximately 60.43 (approximately 1796740 Sq. km)% in 2018 (Source: https://tradingeconomics.com/india/agricultural-land-percent-of-land-area-wb-data.html) . In this area, approximately 80 to 85% of area is arable type of farming while 16% of the area has horticultural farming, where different kinds of foods like food grains, fruits and vegetable are produced. As of 2011, India's arable land area of 159.7 million hectares (394.6 million acres) is the second largest in the world, after the United States. Its gross irrigated crop area of 82.6 million hectares (215.6 million acres) is the largest in the world. India is among the top three global producers of many crops, including wheat, rice, pulses, cotton, peanuts, fruits and vegetables. The major agriculture products of India include Rice, Wheat and Maize which has approximately had a yield of 3.85, 2.8, 1.1 tons per hectare respectively (source: FAOSTAT. 2013). However, even though the India has been emerged as a major food production entity, there exist several challenges that make the yield to reduce. Some examples include lack of mechanization, soil erosion, agricultural marketing, bird flocking etc ( Manjit S Dhindsa, et.al., J. Biosci., Vol. 19, No. 4, pp.391-402, 1994) Among these challenges, bird flocking is a major issue due to which the crop may get damaged at the final or ripening stage(Raheem, et.al., Urban Science, Vol. 5, pp. 8, 2021). The avian species inflict losses in agriculture by damaging crops during sowing, seedling and ripening stages, leading to economic losses to the farming community. Birds are known to cause considerable economic damage to variety of crops during vulnerable stages in different agro-ecological regions of the country.

Detailed of Prior Art
Bird damage is a huge problem around the world. Bird damage is an issue that frustrates farmers because of the lack of reliable information. There are many control techniques, and pest bird control can be expensive. In 2000, a survey found that bird control was costing on average $500 per hectare per year, with most techniques failing to adequately protect crops. The killing of birds does not necessarily reduce crop damage, and associated animal welfare and native species conservation concerns make the practice controversial and politically sensitive (US7028633B2). The bird deterrent system is specifically designed to discourage various bird species in and around airport areas, but it can also be easily modified for use in other locations where birds pose a nuisance or danger. This system incorporates both a ground-based vehicle and an aerial vehicle to enhance its effectiveness against both perched and flying birds (US20150127209A1). These vehicles are unmanned and can function autonomously or be operated remotely as drones. Exclusion netting is usually the most effective strategy, but it is expensive and often is either not practical or cannot be justified given current prices for some crops (US20080071431A1). As a wide range of netting options and application techniques is available, selection of the most appropriate combination can be difficult. Gun firing and drums beating are the two more solutions through which the birds flying over the crop can be scared. However, they cause huge sound pollution. Moreover, the birds get tuned for the constant sound and won’t get scared.
Summary of Invention
This invention is an Agriculture related product which includes both hardware and software and aims at scaring the bird flocks after their detection over fields. In the agriculture sector, birds create heavy yielding losses for crops at their ripening stage, especially for crops like Jowar, Maize, Millets etc. Hence, bird scaring is required to make them fly away from the field. For this purpose, generally farmers use nets, drums beating, gun firing etc. which needs human labor that creates an additional cost to the farmer. Hence, this invention develops a simple and cost-effective automatic bird scaring system through Drone technology by integrating artificial intelligence into it. This product automatically identifies the bird flocks on the field and produces an annoying sound to scare them. Artificial intelligence helps in the identification of bird flocks and makes the drone to fly at an optimal height. The novelty of this invention is to provide an intelligent height adjustment for Drone.

Detailed description of the invention
An invention which is a drone and artificial intelligence-based system is to scare different kinds of birds over different types of crops on the field. This invention concentrates on the automatic bird detection and scaring through Drone technology integrated with artificial intelligence. The employment of monitoring and processing unit attached with camera is to identify the bird flocks. It also employing an automatic UAV controller unit adjusts the height of drone based on the input obtained from monitoring and processing unit. The employment of vibrator is producing an annoying sound due to which the birds flew far away from the field.
This innovative product is primarily focused on agriculture and addresses a critical issue related to bird flock detection and scaring. It combines both hardware and software components to create an efficient solution. The core objective of this invention is to protect crops from the significant damage caused by bird flocks, especially during the crucial ripening stages.
The system consists of several components: a camera that captures videos of bird flocks within its field of view (FoV) and transmits them to a monitoring and processing unit equipped with specialized software. This novel software algorithm employs computer vision and artificial intelligence techniques to detect bird flocks efficiently. When bird flocks are detected, the software sends relevant information to a UAV (Unmanned Aerial Vehicle) controller, which adjusts the height and direction of the UAV to respond to bird movement. Additionally, a vibrator is activated through the controller to emit an annoying sound that encourages the birds to leave the area. Once the birds have been successfully driven away, the UAV safely lands on the ground.

The system operates through several phases: it initiates with an initialization stage where the ground bird detection system identifies the presence of pest birds in the agricultural field. Upon detection, UAVs are deployed and a trajectory is planned to efficiently approach and manage the bird flocks. Battery levels of the UAVs are continuously monitored, and if they drop below safety thresholds, the UAVs are commanded to return and land. In cases of insufficiently charged UAVs and lingering bird presence, redundant UAVs may be initiated. Real-time updates on bird locations are provided by the onboard detection system to the ground control system for effective management. Once the birds are driven a safe distance away, all UAVs are directed to return home and land. This innovative system utilizes advanced technology like computer vision, artificial intelligence, and UAVs to automate bird pest control in agricultural settings, safeguarding crops effectively.

Key Features and Advantages of this innovative system include crop monitoring to track crop condition, enabling precise timing of bird control measures. Integration of cutting-edge drone technology provides efficient coverage of large agricultural areas, reducing the need for manpower and equipment, resulting in a cost-effective solution. Equipped with a scaring mechanism, the drone effectively disperses bird flocks using annoying sounds upon detection. The system operates autonomously, rapidly deploying drones in response to bird threats, minimizing crop damage. Overall, this invention has the potential to significantly impact agriculture by reducing bird-related crop damage during critical growth stages, leading to increased yields, improved crop quality, higher profits, and decreased reliance on labor-intensive bird control methods.

Brief description of Drawing
Fig.1 Model of Crop protection System
Fig.2 Overall flow chart of proposed mechanism

Detailed description of the drawing
As shown in Figure 1, the (1) camera mounted captures the videos of the bird flocks in the field of view (FoV) and sends them to a monitoring and processing unit where the software program runs. At this phase, the input video is subjected to bird flocks detection. For bird identification, this invention developed a new software algorithm based on computer vision and artificial intelligence algorithms These two methods are newly invented methods and they describe bird’s presence over the field. Then, the obtained result is processed to (2) UAV controller to adjust its height. At UAV controller, the height and direction of movement is decided based on the bird’s movement. Upon reaching nearer to the birds flock, (3)a vibrator is switch on through controller to make the annoying sound. The annoying sound makes the birds to fly far away from the field. Once the completed birds are flew away from field, the Drone lands on the ground.

In Figure 2 depicts about the flow chart of the decision process is shown in Figure.5. When the system finishes initializing, the ground bird detection system is activated to detect pest birds. In the event of detection, the UAVs are launched. A trajectory is immediately planned by the ground control system for the UAVs to follow based on the current knowledge of bird location. As the UAVs execute the mission, the ground control system constantly monitors the battery level of the UAVs. The UAVs are commanded to return home and land immediately if the battery level is lower than the safety threshold. Redundant UAVs are initialized if all other UAVs are insufficiently charged and birds have not left the field. The on-board bird detection system simultaneously updates the bird location for the ground control system. All UAVs are sent home for landing once the birds are sufficiently far away from the field.
4 Claims & 2 Figures , Claims:The scope of the invention is defined by the following claims:
Claims:
1) A simple and cost- effective invention for farmers to deter the birds from crops.
a) This invention is a Drone integrated with Artificial Technology and concentrates on the scaring of birds like pigeons, sparrows, parrots etc. and helps in the improvisation of Yield.
b) Subsystem (on-board processing system) delivers a perfect bird detection result for different kinds of images acquired in different types of environments
c) Sub-system (UAV control) delivers a perfect bird scaring for different kinds of birds at different type of fields
2) As claimed in Claim 1, employing an artificial intelligence technology to detect the flocks of bird flocks from videos acquired through camera.
3) As claimed in Claim 1, employing an automatic adjustment of height and direction of movement for Drone.
4) As claimed in Claim 1, employing a Sound producer to produce a huge that disturbs the birds and make them to ran away from field.