Crop simulator is a novelty in agriculture technology to provide forecasting, daily updates, reports, and notifications to farmers for better and advanced management & monitoring. It describes the process of crop growth and development based on weather conditions, soil fertility, and crop management. The simulator calculates the Time in which specific growth stages are attained, Biomass of crop components as they change over time, Changes in soil moisture, and Nutrient status. It also predicts the pest attack and provides solutions.
Key Points:
Data Collection
- Process data of crop growth stages, environmental conditions, and management practices. This includes best sowing range, variety information, soil properties, weather data, and irrigation schedules.
Physical Growth
- Simulates crop stages from sowing to harvest. We use crop nomenclature and other environmental factors to predict the timing of key growth stages.
Crop Image Analysis
- Our model is processing crop images using machine learning for real-time assessment and aid to farmers. This can help in cross verification of crop age / stage and assessing the condition of crops.
Crop Water Requirement
- Detecting crop stress and creating automated irrigation schedules. Incorporated with local weather data to calculate irrigation needs. This can help in scheduling irrigation to avoid times of high evaporation or to make use of expected rainfall.
Fertilization Schedule
- Automating crop fertilization schedules involves integrating various technologies to ensure that crops receive the right amount of nutrients at the right time.
Decision Support
- Use the simulation results to make informed decisions about crop management, such as the right time for fertilization, irrigation, and pest control measures.
Yield Estimation
- Estimate crop yield based on the simulated growth stages and environmental conditions. This can help in planning harvest and post-harvest activities.
