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Drones in Agriculture | EquiAgra
- 1. t Equinox’s Drones Drones in Agriculture Revolutionizing Agriculture with Drone Powered Solutions
- 2. ❏ We extend our top-notch drone services to numerous private firms and government agencies across India. ❏ We cater to several industries - Transportation, Renewable Energy, Mining, Utilities, Infrastructure, and Agriculture ❏ Best UAV Startup 2019 - India Today ❏ Backed by Innovative Drone Technology and Artificial Intelligence About our company
- 4. Our Experience in Agriculture Industry High Resolution Crops Data Faster Crop Mapping 97% Accurate Crop Predictions Capture precise data that drives decisions Scout your fields in less time Efficiently track crops over time, for research
- 5. Track agricultural yield across 2500+ acres with automated plant count algorithms. Accuracy increased by 10%. Survey 4000+ hectares of mines and deliver volume estimations with 97% accuracy. 4x faster with 10x lesser labour, as compared to manual surveying using Total Stations. Monitor 2000+ kms of railways construction. 3x faster with 4x lesser labour, as compared to on- ground surveillance. Why Equinox’s Drones? Conduct detailed topography cum hydrology studies at their solar farms across the country with a turnaround of 200MW of data acquired and processed per week.
- 6. ❑ Agriculture is the primary source of livelihood for about 58 per cent of India’s population ❑ Gross Value Added (GVA) by agriculture, forestry and fishing was estimated at 19.48 lakh crore (US$ 276.37 billion) in FY20(PE) ❑ Growth in GVA in agriculture and allied sectors stood at 4% in FY20 ❑ UAVs fill the gap of human error and inefficiency by traditional farming methods ❑ External factors like weather, soil conditions, and temperature play a critical role in farming. ❑ The agriculture industry, if brought to its peak efficiency, will improve the GDP to higher levels. The healthy yield of crops will also mean that the inflation in the food industry will stabilize. ❑ Farmers that use real-time, reliable information on crop health have a competitive advantage. NEED FOR AGRICULTURAL DRONES IN INDIA
- 7. Why now? According to experts, the predicted world population will be 9 billion by 2050. Agricultural consumption is also said to increase simultaneously by nearly 70%
- 8. Benefits of Drones in Agriculture ❑ Enhanced Production ❑ Effective and Adaptive Techniques ❑ Greater safety of farmers ❑ Highly accurate Predictions ❑ 10x faster data for quick decision-making ❑ Less wastage of resources ❑ Useful for Insurance claims and insurance companies
- 9. Precision Agriculture ❑ Precision agriculture/ satellite agriculture is an approach to farm management that uses information technology to ensure that the crops and soil receive exactly what they need for optimum health & productivity ❑ The goal of PA is to ensure profitability, sustainability and protection of the environment ❑ Access real-time data about the conditions of the crops, soil and ambient air, hyper-local weather predictions, labor costs and equipment availability. ❑ The data acts as a guide for crop rotation, optimal planting times, harvesting times and soil management decisions.
- 10. Precision Agriculture uses ❑ Reduction of resources (seed, fertilizer, pesticides, fuel...) ❑ Reduction of machine and work hours ❑ Improvement of crop yield and crop quality ❑ Minimization of environmental impact ❑ Complete documentation of the production process
- 11. How we can help you ❑ Crop Health & Stress Analysis ❑ Irrigation Monitoring And Planning ❑ Crop Damage Assessment ❑ Crop Count & Plant Emergence Analysis ❑ Field Soil Analysis ❑ Pesticide Spraying ❑ Live stock Monitoring ❑ Mapping / Surveying
- 12. Methodology
- 13. Our Approach ❑ Site Reconnaissance - A preliminary survey (Reconnaissance) will be conducted to understand the site conditions and gauge the site terrain as well as atmospheric conditions such as wind speed, temperature and humidity. This is done to ensure that all obstacles are dealt with before the actual flight. ❑ Mission Planning – Flight Planning will be done base on the observation made in the above reconnaissance survey. Additionally, markers will be fixed at the periphery of the area of interest to ensure full coverage of the concerned plots. ❑ Data Acquisition - Flight mission will be planned and Flying and Photography will be carried out using an Aerial Vehicle. The sensor proposed for the purpose will be a visual RGB and multi- spectral sensor. Phase 1
- 14. ❑ Pre - Processing– In this stage, stacking of the images acquired by the sensor will be carried out. Therefore, the first level outputs will include raw images of the concernedplots and stacked Multispectral images if required. ❑ Post Processing– Once the first level of outputs are ready, final deliverables are produced. Raw images of the concerned plots are georeferenced to produce geo prefred base maps of the same. ❑ Project Specific Data Analysis – Equinox's Drones planning team will generate “Action Ready” outputs in the form of maps, figures, fly through and reports in industry standard formats (AutoCAD and GIS Files). These action ready outputs will help in effective and efficient planning and monitoring of suggested areas of interest at the university. Phase 2 Our Approach
- 15. 1) VISUAL SENSOR ❑ Aerial mapping and imaging ❑ Photogrammetry and 3D reconstruction ❑ Plant counting ❑ Surveillance ❑ Emergency response ❑ Surveying and Land use application Sensors used in Agriculture
- 16. AERIAL DATA ACQUISITION - VISUAL (RGB) CAMERA The entire area of interest will be surveyed using an Unmanned Aerial Vehicle (UAV). Several Flight Plans will be created to cover the entire area and later mosaiced into a single orthophoto. Aerial images are captured maintaining a GSD (Ground Sample Distance) GSD of ~3cm to ~5cm per pixel resolution or better. The data have been acquired with 60% frontal and 30% Lateral overlap. The data acquisition Team verifies the d ata captured on-field itself to prevent gaps and re- capturing of the data. Flight Plans To Acquire Data
- 17. Raw Images
- 18. 2) MULTISPECTRAL SENSOR ❑ Plant health measurement ❑ Water quality assessment ❑ Vegetation index ❑ Plant counting Crop Health and Stress Analysis Locating citrus trees affected with phytophthora (a fungal disease). Sensors used in Agriculture
- 19. MULTISPECTRAL SENSOR Crop Count & Plant Analysis
- 20. Multi Spectral Camera Multispectral 5 band sensor (Red-Blue-Green-Near Infrared-Red-Edge) an be utilized to further monitor the health of the crops.Vegetation indices namely NDVI, CCCI are used by researchers all over the world to determine the status of healthy vegetation and differentiate from other land use changes. Healthy, dense vegetation appears brighter andreflects more radiation in the near infrared region of the spectrum whereas severely stressed vegetation appears dark and reflects less radiation.
- 21. 3) THERMAL SENSOR ❑ Heat signature detection ❑ Livestock detection ❑ Surveillance and security ❑ Water temperature detection ❑ Water source detection ❑ Emergency response Thermal Sensor Imagery Sensors used in Agriculture
- 22. Thermal Camera The multispectral images can be coupled with information such as air temperature and soil temperature can be used to monitor irrigation scheduling, soil water stress detection, plants disease detection, yield estimation etc. Crop Damage Assessment Field Soil Analysis
- 23. Thermal Camera Irrigation Monitoring and Planning Vegetation Index Maps
- 24. 4) LIDAR SENSOR ❑ 3D digital surface modelling stockpile calculation ❑ Surface variation detection and flood mapping ❑ Plant height measurement Sensors used in Agriculture
- 25. Lidar Sensor Lidar Equipped UAV Plant Height Estimate using Lidar
- 26. 5) HYPERSPECTRAL SENSOR ❑ Plant health measurement ❑ Water quality assessment ❑ Vegetation index calculation ❑ Full spectral sensing ❑ Spectral research and development ❑ Mineral and surface composition surveys Sensors used in Agriculture
- 27. HYPERSPECTRAL SENSOR UAV Hyperspectral camera image NDVI
- 28. IMAGE PROCESSING AND ORTHO-RECTIFICATION In the initial level of processing, the first level of deliverables is produced. The raw images or source files are stitched together with their geolocation information (captured by the GPS) and their interior and exterior information to generate the Orthomosaic. Also, based on the altitude information captured by an Inertial Measurement Unit (IMU) and Geographical Positioning System (GPS), the Point Cloud and the Digital Surface Model (DSM) is generated. Therefore, the stages of Processing involves: ❑ Alignment and Sparse Point CloudGeneration ❑ Point Cloud Densification ❑ Digital Surface Model Generation ❑ Orthomosaic Orthomosaic
- 29. GIS Deliverables a. Orthomosaic The individual flight plan image strips are mosaiced together to form an orthomosaic. Colour balancing is maintained to achieve homogeneity across strip boundaries.
- 30. GIS Deliverables b. Digital Terrain Model
- 31. GIS Deliverables b. Digital Surface Model
- 32. Our Illustrations Imagery taken from Enhanced RGB Sensor Channel MultispectralSensor
- 33. Pesticide Spraying Water Mapping for Precision Agriculture Our Illustrations
- 34. Sprinkler Irrigation Drone Imagery Our Illustrations
- 35. Deliverables
- 36. UAV Specifications (Hardware) UAV for Aerial Survey & Surveillance DJI Phantom Pro Endurance 30 mins Cruising Speed 40 mph Weight 1.4 kg Li-polymer Battery 4500 mAh UAV for Aerial Survey & Surveillance DJI Inspire 2 Endurance 45 mins Cruising Speed 18 mph Weight 2.8 kg Li-polymer Battery 4500 mAh
- 39. Equinox’s Drones Private Limited Phone No: 9990279996/ 99013773837 Email: info@equinoxsdrones.com business@equinoxsdrones.com website: www.equinoxsdrones.com Corporate Office :Gopalan Signature Towers, Swamy Vivekananda Road, Nagavarapalya, Bengaluru- 560029