Bean Cam 1.12

University of Wisconsin Nutrient and Pest Management Program ❘ Freeware ❘
iOS
out of 4 votes

This application facilitates the calculation of plant stand (or plant population) by averaging five randomly taken plant count samples within a soybean field during the VC, V1, or V2 growth stages. Utilizing the average stand value derived from these samples, the app estimates the expected percent yield at harvest, both with and without the consideration of spring replanting.

Farmers can leverage these calculated values alongside their economic assessments to evaluate the feasibility of spring replanting in their operations. Additionally, for users located within Wisconsin, the app provides historical median frost dates pertinent to the nearest township, aiding in informed decision-making.

To collect field samples, users have the option of manually counting plants in measured rows or utilizing the iPhone's camera feature for automated counting. The app includes a help screen that guides users through the process, which involves holding the iPhone at arm's length and shoulder height with the camera oriented towards the ground. Visual lines on the camera preview assist in aligning with the plant rows for accurate sampling.

This application is available for free and was developed with research conducted by agronomy specialists at the University of Wisconsin-Madison.

Overview

Bean Cam is a Freeware software in the category System Utilities developed by University of Wisconsin Nutrient and Pest Management Program.

The latest version of Bean Cam is 1.12, released on 12/23/2024. It was initially added to our database on 12/23/2024.

Bean Cam runs on the following operating systems: iOS.

Users of Bean Cam gave it a rating of 4 out of 5 stars.

Pros

Provides real-time insights and monitoring of crop health.
Helps in early detection of pests and nutrient deficiencies.
User-friendly interface designed for farmers and agronomists.
Integrates well with existing farm management systems.
Offers educational resources and support from the University of Wisconsin.

Cons

Limited to specific crops, may not be applicable for all farming types.
Requires a stable internet connection for optimal use.
Initial setup may be complex for less tech-savvy users.
Ongoing maintenance and updates might incur additional costs.
Dependence on external data sources which can vary in accuracy.

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