Wazihub Soil Moisture Prediction Challenge
$8,000 USD
Predict soil humidity using sensor data from low-cost DIY Internet of Things in Senegal
29 July–20 October 2019 23:59
709 data scientists enrolled, 96 on the leaderboard
"Your solution needs to use one model to predict soil humidities for all four fields."
published 10 Aug 2019, 20:58

Can I implement 4 different models, one for each field, as long as I compile the results using the format in the sample submission? Or do I need one optimized model that I should apply uniformly across all the fields?

I believe your topic answers the question ha?

Hi simbapy,

You need one optimized model that applys to all the fields.

The aim of this challenge is to create a solution that can be applied to other farms in Senegal, so the final solution needs to be general enough to apply to all fields but still highly accurate.

replying to ZINDI
edited 25 minutes later

Hi ZINDI I am still confused, please I need a clarification:

Which one of these two strategies is correct:

Strategy 1:

- Train on field 1 then predict on field 1

- Train on field 2 then predict on field 2

- Train on field 3 then predict on field 3

- Train on field 4 then predict on field 4

Stategy 2:

- Train on all 4 fields without mixing information from different fields then predict on all 4 fields