- Company website
- https://cropinno.com/
- Number of employees
- 2 - 10 employees
- Description
-
Cropinno is an Agri-tech company using satellite and AI technology to help farmers monitor and identify potential issues on the farm to prevent yield loss and boost their productivity.
Our solutions provide near real-time understanding of agricultural farms to identify potential issues early on. This information allows farmers to gain insights into crop conditions, thereby eliminating the need for time-consuming and costly manual data collection. - Categories
- Data analysis Environmental sustainability Information technology Scientific research
- Industries
- Agriculture It & computing
Recent projects
Competitive Analysis
We want to better understand how our target audience perceives our brand and competitors. This will help us develop clarity on our competitive advantages and optimize our marketing strategy.We would like to collaborate with students to conduct a competitive analysis of our business.This will involve several different steps for the students, including:Familiarizing themselves with our company, products, and target market.Identifying current and potential future competitors.Creating a matrix identifying features that are similar and different between companies.Summarizing our competitive advantages and disadvantages relative to the competition identified.Bonus steps in the process would also include:Recommending how our company can differentiate itself through products / services and messaging.
Remote sensing of Soil Carbon Sequestration potential by satellite data
The main goal for the project is to develop a system using satellite remote sensing technology and machine learning models to estimate soil carbon sequestration, which is important for climate change mitigation. This will involve several different steps for the learners, including:- Understanding the principles of soil carbon sequestration and its importance in agriculture.- Familiarizing with satellite remote sensing technology and its application in agriculture.- Collecting and analyzing relevant data sets for soil carbon sequestration estimation.- Developing and training machine learning models for accurate estimation.- Integrating the developed models into a user-friendly interface for farmers.
Assessment of Soil Contaminants in Agricultural lands for Environmental Sustainability
The main goal for the project is to conduct research on the chemicals and minerals present in agricultural lands and their impact on soil quality and environmental sustainability. The research will focus on understanding the composition of chemicals and minerals in the soil, their effects on crop productivity, and then assessing the methods to remotely measure the contaminants in the soil and crops by remote sensing tools like Satellite, Drone, etc.
