YieldAI was developed as a technology to enhance agricultural productivity through artificial intelligence. It emerged as a response to the growing need for efficient farming practices and sustainable agriculture. The system analyzed data from multiple sources, such as weather, soil, and crop conditions, to provide farmers with insights for better decision-making in areas like planting and irrigation. Its creation aimed to address challenges in agriculture by improving yield efficiency and promoting sustainability. Specific details about its founders or the exact year of creation are not readily available.
YieldAI
YieldAI is a technology designed to optimize agricultural productivity by leveraging artificial intelligence. It analyzes vast amounts of data from various sources, such as weather patterns, soil conditions, and crop health, to provide actionable insights for farmers. This helps in making informed decisions regarding planting, irrigation, fertilization, and pest control, ultimately enhancing yield efficiency and sustainability.
Howdy Network Rank#400
*Survey of over 20,000+ Howdy Professionals
Explore the Howdy Skills Glossary
About YieldAI
Strengths of YieldAI included its ability to process large datasets for precise agricultural insights, improving efficiency and sustainability in farming practices. Weaknesses might have involved reliance on data quality and potential high implementation costs. Competitors likely included other agri-tech solutions like Climate FieldView, Granular, and FarmLogs, which also focused on optimizing farm management through technology.
Hire YieldAI Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a YieldAI expert
A YieldAI expert must possess strong skills in data analysis and machine learning to interpret and optimize agricultural data effectively. Proficiency in programming languages such as Python or R for developing and implementing AI models is essential. Knowledge of agronomy and precision agriculture technologies is important to contextualize data insights. Familiarity with GIS tools for spatial data analysis and experience with cloud computing platforms for handling large datasets are also crucial technical skills.
The best of the best optimized for your budget.
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.
USA
$ 97K
$ 127K
$ 54K
$ 73K
$ 224K
Employer Cost
$ 127K
Employer Cost
Howdy savings:
$ 97K
Benefits + Taxes + Fees
Salary
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.