Challenges in Ag

Reason for Optimism

The blog discusses the current challenges faced by growers and packhouse operators, such as lower market prices and rising input costs. Despite these difficulties, Cox offers a hopeful perspective on the future of the agricultural sector and highlights three key changes that could help maintain profitability in agriculture: modern data platforms, contextualization of data, and the use of artificial intelligence for complex analysis.


Exploring Agricultural Optimism with Terrantic 

In our latest sit-down with Trevor Cox, founder of Terrantic, we dive into the pressing challenges faced by today's growers and packhouse operators. As market prices dwindle and input costs rise, the struggle to maintain profitability is more palpable than ever. But Trevor brings a refreshing sense of optimism to the conversation. 

Facing the Tough Times 

Trevor acknowledges the rough patch that commodities like apples, pears, and cherries have been enduring over the past few years. Other agricultural products are now experiencing similar issues. With serious discussions underway, the industry is exploring the radical idea of ensuring profitability regardless of uncontrollable factors like pricing. 

Turning the Impossible into Possible 

Drawing a fascinating parallel to space technology, Trevor recalls how landing and reusing booster rockets seemed impossible just a decade or two ago. Yet, SpaceX made the impossible possible. Trevor suggests that the agricultural sector can achieve similar breakthroughs by reimagining what's feasible today. 

Embracing Modern Solutions 

Trevor highlights three pivotal changes that could transform agriculture: 

  1. Modern Data Platforms: Many growers still rely on outdated ERP and farm management systems. These systems lack the capability to ingest and analyze comprehensive data sets. 
  1. Contextualization: This involves connecting disparate data sources, a task only a few companies globally, like Palantir in the defense industry, can perform effectively. Similar advancements are now emerging in the AgTech sector. 
  1. Artificial Intelligence: The complexity of agricultural data analysis has traditionally been overwhelming. AI, however, is perfectly suited to tackle this challenge, making advanced analysis more accessible and practical. 

A Future Full of Possibilities 

Trevor’s insights remind us that with the right tools and mindset, what once seemed unattainable can become reality. The key lies in harnessing the power of modern data platforms, contextualizing this data, and leveraging AI to ensure profitability in the field. 

For more insights and information, visit Terrantic.com. 

Get notified on new technology insights-Join our Blog Community!

Terrantic focuses on providing modern data platforms and AI solutions to enhance efficiency and profitability for farmers, packinghouses, and food processors. Terrantic’s solutions enable real-time data collection and analysis, helping businesses catch mistakes early and improve operations. Additionally, they promote using AI to analyze historical data and optimize various aspects of agricultural production and packing for maximum profitability.