We are a catalyst for Crop Insurance Life Cycle,
directly providing input to All Stakeholders,
to speedup Payouts to Farmers precisely,
backed by robust Smart Decision Framework.
(Agri-India: Agriculture division) is Startup India entrepreneur initiative to build Agri-Technology solutions using Advance Remote Sensing Techniques. Our objectives are to develop an integrated approach for Estimating Crop Yield at village/gram panchayat level using Innovative Remote Sensing Techniques; and validation of Innovative Technology driven Crop Yield using actual Yield obtained from Supervised Crop Cutting experiment data.
Started with varied engineering backgrounds, collectively having 125+ years of experience in Insurance Survey & Loss assessment, Land & Revenue operations, and IT implementation systems.
Experts from Remote Sensing Technology and Hydrographic science are on our board.
RAW data processing Software, Analytics and Advance Reports Generation Software, inventory of Multispectral sensors, Techno-aware ground force etc. are with us.
Solutions
Amazing Aerial Solution is actively working on designing Agri-Technology Solutions, which helps Farmers and other stakeholders to use for increasing their agricultural income and efficiency.
Smart Decision Framework for Crop Insurance Life Cycle
Agri-India Enterprise Framework to processes huge data, collected during entire Crop Insurance Life Cycle.
Calculating Yield Potential
AAS come up with innovative Agri Remote Sensing Technology to calculate Yield Potential; whcih can be used to optimize CCE executions and Crop Loss Assessment activities.
Agri-Technology Research
Amazing Aerial Solutions is committed to work with Research Directorates of Agricultural Universities, for verifying & validating Agri-Technology solutions designed using Advance Remote Sensing Technologies.
Resources
# Careers
We’re a rapidly growing new Agri-Technology company with multiple opportunities for dynamic new teammates. We are seeking a highly motivated, self-starter who has the ability and desire to create high quality production applications. This includes applicaion development, user interfaces, working with backend database structures and development and interfacing with APIs. You will be a key contributor to AAS team and with the direction of engineering team members you will work on all aspects of the research & code. You’ll be collaborating with a close-knit AAS team who support each other across every role and function.
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Smart Decision Framework for Crop Insurance Life Cycle
Agri-India Smart Decision Framework
AAS introduces Agri-IndiaEnterprise Framework to processes huge data, collected during entire Crop Insurance Life Cycle. It's an Artificial Intelligence, Cloud based seamless solution designed to handle smart and User Designed Policy based decision making, to generate rich graphical reports and data action routines with maximum Data Security.
Effective Decision making is only possible with a robust process and an effective evaluation of all the factors.
Quality of Input Data, Processing Engine and Output Data, can be higher as compared with legacy systems in place, which are not using latest technologies & systems completely.
Cost reduction for Data Collection and Processing, can increase profit levels for all stakeholders.
Convenience and Availability of data at right time, along with Transparency, increases faith level on system.
Calculating Yield Potential using Remote Sensing Technologies!
Technology Glimpses
Yield Potential It is a combination of measuring vegetation fraction, NDVI, and the alignment of sensor’s four bands and their bandwidth. System spots the spatial and spectral patterns of crops, weeds, dead vegetation, and bare soil to isolate the crop from the weeds and the background. It looks specifically at plant color and growth to detect small changes invisible to the human eye which is how yield potential is formulated. Yield Potential is generated from a variety of multiple crop metrics that are combined to assess future performance in the Yield Potential layer.
Low altitude spectral imaging enables new classes of information to characterize plant development that previously had only been possible with labor-intensive, ground-based measurements.
PLANT POPULATIONS, COUNTS, AND SIZE DISTRIBUTIONS: High resolution spectralimagery and analytics combine to deliver population density (plants per unit area), plant counts (plants per plot), and plant size distributions based on a true (positive) segmentation and counting approach shortly after emergence. Possible for crops like Sorghum, Corn, Cotton, but difficult for Soybean, wheat etc
EMERGENCE FRACTION (“EF”): EF reports the fraction of emerged plants along a row. Forvery high planting densities where neighboring plants encroach shortly after emergence, this metric can be used to estimate population.
VEGETATION FRACTION (“VF”): VF is calculated as the ratio of growing crop canopy tototal area. VF is often used as a proxy for Leaf Area Index (“LAI”) and general crop biomass.
CHLOROPHYLL INDEX: Traditionally, SPAD or Dualex measurements were required toestimate plant chlorophyll condition. Imagine having these measurements made on every square centimeter of leaf area. Multispectral sensors deliver Chlorophyll Index in accordance with commonly accepted algorithms.
STRESS & BASIC VEGETATION INDICES: Multiple spectral ratios are provided separatelyfor the segmented crop population and background soils (e.g. vegetation stress, red-NDVI, green-NDVI, red edge-NDVI). The spectral signatures of stressed plants appear altered from those of healthy plants. Stressed plants have a higher reflectance value in the visible region of the spectrum. This pattern is reversed for stressed plants in the nonvisible range. The visible pattern is repeated in the higher reflectance range. Interpreting the reflectance values at various wavelengths of energy can be used to assess crop health.
ABSOLUTE REFLECTANCE: Radio metrically calibrated in-band reflectance is provided for4 spectral bands. Normal band center positions and bandwidths include 550/40, 650/40 720/20, 850/100 nm. These spectral band positions can be customized as per requirements.
Steps to Calculate Yield Potential
Unique Selling Preposition
Item Description
Existing CCE Yield Estimation Method
AAS Yield Estimation
− Execution Process
Manual
Semi-Automatic
− Yield Calculation Method
Manual
Automatic
− Operational Cost
Low*
Moderate
− Skills requirement
Moderate
High
− Manpower requirement
Moderate
Moderate
− Accuracy
Low
Very High
− Quality
Moderate
Very High
− Scalability
Low
Very High
− Process Span
Single Crop
Multiple Crops
− Error prone
Highly
Minimal
− Execution Time
High
Low
− Re-Verification
Not Possible
Possible
− Crop Cutting
Needed
Not Needed
− Time required for Results
Moderate to High
Instant
− Cost for generating additional reports
Not possible OR Very High
Low
− Survey execution Area
Couple of Fields per day
160+ Acres per day
− Digitization of information
Need time, Manual data entry (Highly error prone)
Instant & Automatic (Less error prone)
− Crop Variant Yield Estimation
Hard to capture
Easy
− Biomass prediction
Difficult to calculate
Easy to calculate
Agri-Technology Research
Amazing Aerial Solutions is committed to work with Research Directorates of Agricultural Universities, for verifying & validating Agri-Technology solutions designed using Advance Remote Sensing Technologies.
AAS has signed an MoU with Directorate of Research, Dr. Panjabrao Krishi Vidyapeeth, Akola for developing Agri-technology solutions using Advance Remote Sensing technologies.
Amazing Aerial Solutions: Career
Software Engineer
Responsibilities:
Work with engineering team to develop web-based applications
Collaborate with graphic design and development team to optimize UX
Estimate scope for new development and make suggestions for most efficient approach
Write, test and deploy production level code
Basic Qualifications:
Bachelor’s degree in software engineering or equivalent
Proficient with HTML / CSS
Proficient coding in JavaScript, node.js, and Angular, or equivalent
Experience with Jest, Mocha or equivalent testing framework
Experienced with software configuration management and deployment tools like Git, CI/CD
2+ years of software development experience
Self-starter with strong analytical and organizational skills, positive attitude and work ethic, and attention to detail. Possesses a “can do” mentality. Adhere to a clean and logical structure for new code development including proper and thorough commenting
Preferred Experience and Skills:
Experience working with Python/PHP MVC web architecture
Experience developing user interfaces in electron, node.js, or similar
Familiar with Python, PHP, C, C++
Experience with GeoTIFFs, and map projections
Experience with MySQL/PostgreSQL databases
Experience developing for AWS or iDClouds data centers
Ability to work in a dynamic and growing environment where job functions can evolve
High energy, enthusiasm, and mental stamina
Please send your resume/CV on careers@amazingaerial.in stating name of the Post in Subject line.
Amazing Aerial Solutions: Career
Python Developer
Qualification:
Experience of 3 to 6 Years
Skill-mix:
Minimum 4+ years development experience. Substantial expertise in Python or Golang.
Experience with design and development in NoSQL Databases
Experience with Messaging Systems like RabbitMQ.
In-depth expertise in Docker and Kubernetes a big plus.
Design, Develop, Optimize and Scale at every stage of the architecture.
2+ years’ experience in modern RESTful API development
Strong bash skills.
Skill Required:
Python OR Golang
REST API
Cloud Experience
Please send your resume/CV on careers@amazingaerial.in stating name of the Post in Subject line.
Amazing Aerial Solutions: Career
RPA/GIS Developer
Educational Requirements:
B.Tech , BE , MCA (GIS, geography)
Optional certifications include GISP or Certified Mapping Scientist, GIS/LIS
Responsibilities:
Ensure effective Design, Development, Validation and Support, activities in line with client needs and architectural requirements.
Ensure continual knowledge management.
Adherence to the organizational guidelines and processes
Technical And Professional Requirements
Minimum Experience required: 3 years,
Sharp critical thinking skills, strong written and verbal communication skills
Ability to analyze spatial data, problem-solving skills, project management skills, familiarity with statistical analysis
Programming skills including Python/PHP, MVC, ArcGIS, MySQL/PostgreSQL, and GIS database design
Hands on experience in one or more of the following RPA tools- Blue Prism, Automation Anywhere, UI Path, Workfusion,
Should be from Programming background with prior experience in Java or .Net development,
Experience on any Process Automation/Integration IT,
Candidates with prior experience in development will be given preference,
Good Communication skills - Written and Verbal
Please send your resume/CV on careers@amazingaerial.in stating name of the Post in Subject line.
Amazing Aerial Solutions: Career
Agriculture Research Associate
Essential Education Qualification
Masters or Doctoral degree in any branch of Agricultural Sciences OR Masters/Doctoral degree in basic sciences with specialization in Agronomy.
At least 2 years’ experience
Proven record of scientific contribution in the relevant subject.
Evidence of publication/activities contribution to suggest that the candidate has a broad vision/perspective on agricultural research.
Desired Candidate Profile
Strong capabilities in financial modeling & valuation methods
Good experience in comparative analysis
Strong analytical skills, the ability to interpret information quickly
Good written and oral communication skills and the ability to provide & defend an opinion
Job responsibilities:
Working along with local team and University scientists
Prepare research reports
Develop and manage financial models
Conduct in-depth analysis of research financials
Conduct comprehensive industry research and analysis
Please send your resume/CV on careers@amazingaerial.in stating name of the Post in Subject line.