Digital Transformation of Indian Farming
Famrut is an innovative Ecosystem which delivers future-ready farming solutions and connects farmers with all relevant stakeholders of the entire agricultural sector.
Famrut can automate alerts for each phase of your crop lifecycle for seeding stage, vegetative stage, fertilizing, spraying, watering and harvesting.
Using cameras and sensors, we can measure the soil nutrients, keep track of plant growth, height, detect diseases, identify produce, predict yield and much more.
Using data and technology, we can recognize plant species by building probability models that would predict which genes contain beneficial traits.
To protect your crops from unpredictable weather, Famrut will give you an alert to watch out for weather conditions to help protect your crops.
Famrut can fetch real time data from your geographical location in order to show you minimum and maximum prices of all local crops.
Using forums, farmers can upload pictures or videos to find solutions and thereby strengthen their community.
Famrut aims to connect farmers with resources such as
Monitoring of climatic conditions, weather stations and crop health predictions by combining various smart farming sensors.
Get accurate real-time information of lighting, temperature, soil conditions, humidity, irrigation systems, etc.
Collect data on parameters such as temperature, precipitation, leaf water potential, overall crop health, lighting, soil condition, humidity, CO2 levels, pest infections, etc.
Sensors can be attached to the animals on a farm to monitor their health and log performance. Sensors can identify sick animals, so that farmers can separate them from the herd and avoid contamination.
IoT sensors to monitor field microclimate and ecosystem, estimate optimal amounts of water, fertilizers, and pesticides that their crops need in order to reduce expenses to raise healthier crops.
Drones can handle tasks such as planting crops, fighting pests and infections, agricultural spraying, crop monitoring, disease detection, yield count, plant states, etc.
IoT and smart sensor technology to come up with important predictions such as crop harvesting time, the risks of diseases and infestations, yield volume, etc.
Survey and map land data to identify soil fertilization, type of crops, temperature and climatic conditions.