Agriculture Overview
Agriculture, One of the clients of glosys Mobility Platform, provides AI & Cloud Software Suite and SaaS Applications and Services to focus on Agriculture Data Management, Annotation Automation, Model Management for Agriculture, MLOps Automation and Agriculture data security in the digital world
Features We offer
Materials Management for Agriculture
Managing materials in the vehicle components which are composites made of high-strength steel, aluminum, and carbon fiber/plastic commodities
Vehicle Dynamics for Agriculture
Focuses on how a vehicle's forward movement changes in response to driver inputs, propulsion system outputs, ambient conditions, air/surface/water conditions
Automated Design for Agriculture
Autonomous Vehicles rely on sensors, actuators, complex algorithms, machine learning systems, and create and maintain a map of their surroundings based on a variety of sensors situated in the vehicle.
Battery Analytics for Agriculture
Battery Analytics focuses on examining data from charge-discharge cycles, capacity retention, rate performance tests and BMS manages the electronics of a rechargeable battery, whether a cell or a battery pack,
Motor Intelligence for Agriculture
By embedding IoT sensors into vehicles, sophisticated AI systems can predict engine failure and optimize battery performance based on how drivers use the vehicle
Vehicle Controllers for Agriculture
Vehicle control Units are electronic devices in EVs which oversee and regulate various subsystems, including the motor drive, battery management, thermal management, and energy regeneration systems
Additive Manufacturing for Agriculture
Harnesses 3D Printing for parts associated with Vehicle Models by creating personalized aesthetic components
Usecases for Agriculture
Monitor Crop Health
Classify between different crop species and weeds
Analyze soil moisture, temperature, humidity, and nutrient levels to assess the overall health of the crop and provide insights into irrigation and fertilization needs.
Development of Agriculture Drones with Maximum Weight, Operating Speed, Operating Altitude, Endurance, Payload, No. of Motors, No. of Propellers, Controller, Nozzle Type, No. of Nozzles, Spray width, Acres Coverage, Power System, Type of Fuel, Fuel Tank Capacity and Back up
Forecasting Pest Infestations
Certain pests thrive under specific weather conditions. Monitoring temperature, humidity, rainfall, and other weather parameters helps predict the likelihood of pest outbreaks. Weather stations and online weather services can provide valuable data.
Analyze historical data, weather patterns, and other relevant information to predict pest outbreaks.
Identify the presence of pests and provide early warnings to farmers, allowing for targeted pest management strategies.
Identify Crop Diseases
Visual observation of symptoms on plants, such as wilting, discoloration, spots, lesions, and deformities.
Inspecting crops for signs of diseases with the help of drones equipped with cameras for aerial monitoring.
Plant pathologists analyze samples of infected plants in laboratories using microscopic examination, DNA testing, and other molecular methods, to identify pathogens.
Mobile app uses ML algorithms to identify potential diseases of affected crops
Weed Detection and Management
ML models differentiate between crops and weeds in images, enabling automated weed detection. This information can be used to implement targeted weed management strategies, reducing the need for herbicides.
Update Field Data
Seasonwise Field Data Updation by covering large areas daily in terms of Unmanned Aerial Vehicle
Hyperspectral and multispectral sensors detect subtle changes in plant health that may indicate the presence of diseases.
Satellite and drone-based remote sensing technologies monitor large agricultural areas to detect changes in vegetation health, helping to identify potential disease outbreaks.
Improve Crop Yields
Predict crop yields based on weather conditions, soil health, and historical yield data to make informed decisions regarding planting, harvesting, and resource allocation.
Meet Your Mobility driven AI for Agriculture Objectives & Needs