About this episode
In this episode of the Farm4Profit Podcast, we’re joined by Dr. Vinayak Shedekar , a research scientist at the forefront of multifunctional drainage systems in agriculture. Drain tile has long been used to remove excess water from fields, but according to Dr. Shedekar, that’s just scratching the surface. We explore how tile systems can now support irrigation , manage seasonal water needs , improve water quality , and even contribute to conservation efforts . Dr. Shedekar explains the concept of transitioning from "drain to de-rain" —a strategy that leverages tile infrastructure to retain or redistribute water based on the time of year and crop demand. He also unpacks the potential of drainage water management and subirrigation in increasing yields, improving efficiency, and enhancing farm profitability—especially in places like Northwest Ohio , where traditional irrigation adoption has been limited. Listeners will gain a deeper understanding of: How to evaluate their current tile system Whether water management upgrades make sense How conservation practices like bioreactors and control structures play into the big picture What technologies are emerging to help maximize return from these buried systems If you’ve ever wondered whether your tile could be doing more for your crops, wallet, and the environment, this episode is for you. Want Farm4Profit Merch? Custom order your favorite items today! https://farmfocused.com/farm-4profit/ Don’t forget to like the podcast on all platforms and leave a review where ever you listen! Website: www.Farm4Profit.com Shareable episode link: https://intro-to-farm4profit.simplecast.com Email address: Farm4profitllc@gmail.com Call/Text: 515.207.9640 Subscribe to YouTube: https://www.youtube.com/channel/UCSR8c1BrCjNDDI_Acku5Xqw Follow us on TikTok: https://www.tiktok.com/@farm4profitllc Connect with us on Facebook: https://www.facebook.com/Farm4ProfitLLC/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.