FarmMind
FarmMind
Baton Rouge, Louisiana - Following our initial discovery of two errors in Louisiana's 2025 pest management guide, FarmMind conducted an AI-powered audit of the two pages from the LSU Ag Guide the single errors were found from to see if there were any others contained on each page. The results were surprising: our Agricultural Intelligence Engine identified multiple critical factual errors.
Note: The LSU AgCenter has been notified of all findings. We appreciate their collaborative approach to improving agricultural information resources and their commitment to providing accurate guidance to Louisiana farmers. All of the referanced documents have been cited below.
Following our success identifying discrepancies during routine testing, we wanted to see what would happen if we subjected an entire page to our AI's scrutiny. In the first article highlighting the two initial error discoveries originating from arbitrary questions pulled from the ag guide used to test the AI systems ability to retrieve intricate information, the first page discussed was page 48 table 9 of the LSU Ag Guide Rice Pest Management section. This page without any alteration is included below:
This served as a good page to check since we knew that it had at least one existing error and the information on the page required our system needing to verify nine different products, dozens of application rates, and multiple regulatory requirements. Our AI system cross-referenced the claims in the page against EPA labels, Louisiana regulations, and peer-reviewed research. After setting up a custom pipeline for allowing the Ai to go through and fact check each piece of information, what could have easily taken a human hour of manual checking, our system completed in under 10 minutes (8minutes and 56 seconds to be exact). Here are the results from a single pass check of the page:
The guide claims Proaxis should be applied at 1.28-2.05 fl. oz./acre, but the EPA label specifies 3.20-5.12 fl. oz./acre - more than double the recommended rate.
The rate listed in the guide (1.28-2.05 fl. oz./acre) actually matches a different product, Declare, which also contains gamma-cyhalothrin but at a different concentration. Proaxis contains 0.5 lb active ingredient per gallon while Declare contains 1.25 lb per gallon, requiring different application rates to achieve the same field dose.
A farmer following the guide's recommendation would be applying less than half the minimum labeled rate, potentially resulting in complete control failure. In a year when chinch bug populations explode, this error could mean the difference between a profitable harvest and significant yield loss.
Note: Our AI also mentioned the potential that using Proaxis altogether may be banned. However, it is highly dependent on the exact label referred to (since the one page we gave it did not have the exact label registration number identifier). According to the EPA's Cancellation Order published in the Federal Register on September 14, 2022 (87 FR 56410) cancelled products named 'Proaxis CHA' (EPA Reg. 279-3551) and 'Proaxis EX' (EPA Reg. 279-3574), and Prolex (gamma-cyhalothrin EPA Reg 279-3582) were cancelled by FMC Corporation. However, the Proaxis registration likely referenced in the LSU guide (EPA Reg. 67760-114) and cited above does not appear in this cancellation order.
Our AI identified another pattern that human reviewers might miss: the pre-harvest intervals for two products appear to have been swapped.
Mustang Maxx: Listed as 21 days PHI, actually 14 days per EPA label
Pre-harvest intervals exist to ensure pesticide residues decline to safe levels before food reaches consumers. The seven-day difference between what's listed and what's required could have serious consequences.
For Mustang Maxx, waiting an unnecessary extra week to harvest (21 days instead of 14) might seem like the safer error, but in Louisiana's volatile weather, that extra week could mean the difference between harvesting before or after a hurricane. Delayed harvest also increases risk of lodging, sprouting, and quality deterioration.
Declare: Listed as 14 days PHI, actually 21 days per EPA label
As stated in the initial article, for Declare, harvesting at 14 days instead of the required 21 days could result in residue levels exceeding federal tolerances. This means potential rejection at the grain elevator, failed export inspections, or worse - a recall if contaminated grain enters the food supply. The financial and reputational damage from shipping grain with illegal residue levels can devastate a farming operation.
The most serious finding involved Sevin 80S and Sevin 4F, both carbaryl-based insecticides listed in Table 9 for chinch bug control. The guide provides specific application rates (1.25-1.88 lbs/acre for 80S, 1.0-1.5 quarts/acre for 4F) and even lists a 14-day pre-harvest interval.
However, as of April 9, 2025, the EPA prohibited carbaryl products from being used on rice. This federal ban was implemented to protect endangered species and is reflected in the EPA Reg. 61842-33 (Sevin WP85) label which expressly states that "Use on rice is prohibited."
Additionally, Rice is not listed on the Sevin 4F label as approved for use.
Our AI traced the regulatory timeline: In December 2022, the EPA proposed cancelling rice uses for carbaryl. By January 2024, the National Marine Fisheries Service completed its biological opinion finding that carbaryl would likely jeopardize 78 listed species. The final prohibition took effect April 9, 2025, with updated labels stating unequivocally: "Use on rice is prohibited."
While the effect this has on the older slightly different labels could not be verified by this article's author, if this new label does affect the legality of the older labels, this is particularly concerning since farmers might have older Sevin products in storage with labels that still show rice as an approved use. But here's the critical legal point our AI flagged: under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA), users must comply with current label requirements, not old ones. Using Sevin on rice today - even with an old label in hand - may constitutes a federal violation that could result in civil or criminal penalties.
While verifying these specific label requirements, our Agricultural Intelligence Engine also uncovered deeper observations that traditional fact-checking might miss. One includes the following:
Although the pyrethroid insecticides listed are technically EPA-registered for rice, our AI synthesized peer-reviewed research showing a massive gap between labeled expectations and field reality. LSU's own researchers have documented widespread pyrethroid resistance in rice stink bug populations since 2017, with control efficacy dropping to just 45-50% of expected levels.
The AI found particularly telling quotes from extension specialists. Dr. Blake Wilson from LSU AgCenter noted that in northeast Louisiana, lambda-cyhalothrin has become "almost totally ineffective." University of Arkansas specialists went further, stating these products "should mostly be avoided" due to resistance.
Yet the guide lists these products without any resistance warnings. This creates a dangerous situation where farmers might spray expensive insecticides that simply don't work anymore, wasting money and potentially allowing pest populations to explode while thinking they're protected.
As mentioned above, the initial two facts randomly pulled from sections of the Ag guide that were found incoreect in the initial article came from two different pages of the ag guide. So, we also ran the second page that contained the second origianl error and the findings for this second page were as follws:
Meanwhile the label says:
However, that isn't where the interesting results for Brigade stopped for this pass where we gave the entire page to our Ag Intell Engine and tasked it with verifying all of the information. In fact, it alerted us to the following concern:
"Brigade 2EC and Brigade WSB (bifenthrin) are not labeled for use on grain sorghum in Louisiana. The EPA federal labels for these products do not list grain sorghum as an approved crop. There are no Special Local Need (SLN) or Section 24(c) registrations in Louisiana that would permit this use. The Louisiana Department of Agriculture and Forestry requires all pesticide uses to match the federal label or have specific state approval, which does not exist for Brigade on grain sorghum (LDAF).
University extension publications from neighboring states (Tennessee, Georgia, Mississippi, Arkansas) confirm that Brigade is not labeled for grain sorghum. For example, the University of Tennessee Extension states: "Note that products containing bifenthrin such as Brigade are not labeled in milo (grain sorghum)" (UT Extension). Other bifenthrin-containing products (such as Sniper or Steward) may be labeled for grain sorghum but Brigade itself (Brigade-branded product line) is not (MS Extension).
Legal and Safety Implications: Using Brigade on grain sorghum would be a violation of federal and state law, as it is not labeled for this crop. Applicators must only use pesticides on crops listed on the product label. Violations can result in regulatory penalties (EPA Label, Greenbook)."
While this finding is still awaiting confirmation or clarification from an extension proffessional, if true, it would warrent the full removal of Brigade from this section of the LSU Ag Guide since its use is no longer permitted on Grain Sorghum.
This one was straightforward. The model pointed out that Karate was not explicitly mentioned on the page, so refering to it did not make sence. This is more a stylistic thing, but could lead to confusion by those reading the ag guide, so warranted making its way in to this assesment of errors.
The model had this to say about the listing of Declare on this page:
"This page claims it has "same restrictions as Karate but max 0.04 lb ai/acre/season" suggests either an incorrect product name, a discontinued product, or a regional formulation not found in federal records. Extensive searches ... found no EPA-registered insecticide named Declare for grain sorghum. The claimed 0.04 lb maximum is exactly half of Karate's verified 0.08 lb limit for grain sorghum, which raises additional questions about the information source. Karate itself (EPA Reg. 100-1086) has a 30-day PHI and 24-hour REI for grain sorghum with lambda-cyhalothrin as the active ingredient. Until an actual EPA label can be located, growers should not use any product called Declare based solely on this entry."
What makes our Agricultural Intelligence Engine unique isn't just its ability to check facts quickly - it's the sophisticated reasoning that guides its analysis. The system is getting better at understanding regulatory hierarchy, knowing that EPA labels supersede state recommendations, that newer regulations override older ones, and that peer-reviewed field data should inform practical guidance.
For the carbaryl issue, the AI didn't just check whether Sevin was registered for rice - it traced the entire regulatory timeline, understood the endangered species implications, and recognized the critical legal distinction between old and current labels. It knew that FIFRA Section 12(a)(2)(G) makes it illegal to use any pesticide "in a manner inconsistent with its labeling," and that this applies to current labels, not whatever version a farmer might have in their shed.
For the application rate errors and PHI errors, the system was able to compare the rates and PHI's in the labels to those that remained in the guide, likely from outdated labels, something that would have taken a human review hours to verify and are so nuanced they could easily escape human review.
Finding multiple critical errors on randomly selected pages means that even conservative extrapolation suggests dozens of potential discrepancies throughout the document.
To be clear, this isn't about pointing fingers at the LSU AgCenter. They produce exceptional research under impossible deadlines with limited resources. The 2025 guide contains thousands of product recommendations, each with multiple data points that could change with any label update. The fact that errors creep in isn't surprising. Rather, it's inevitable given the current manual review process.
What our experiment demonstrates is that the complexity and volume of agricultural regulatory information have outpaced traditional quality control methods. No team of human reviewers could realistically cross-check every recommendation against every current EPA label, state regulation, and resistance study. But AI can, especialy AI like the one FarmMind developed specifically designed to process information using agronomic reasoning methods.
Additionally, since ag centers across the nation put out similar guides, the impact having FarmMind's Ai review documents could lead to catching hundreds of errors before extension information across the nation is published and used. The FarmMind team looks forward to supporting extensions in this effort, so if you are reading this as part of an extension, please reach out to our team using the contact information at the bottom of this article.
The solution isn't to replace human expertise but to augment it with AI-powered verification. Our system could review entire guides before publication, flagging potential issues for human experts to evaluate. It could continuously monitor for regulatory changes, alerting when published recommendations become outdated.
We're now offering this capability to agricultural extension services nationwide. The same system that caught these errors could review thousands of pages across multiple states, ensuring every recommendation reaching farmers is accurate, legal, and effective. For universities, this means protecting their reputation and reducing liability. For farmers, it means trusted information they can stake their livelihoods on.
We envision a future where:
- Every extension publication undergoes AI verification before release.
- Regulatory changes trigger automatic alerts to update affected recommendations.
- Resistance data automatically informs product efficacy rating
- Cross-state collaboration identifies and resolves discrepancies
Agricultural margins are tighter than ever. Climate volatility is increasing. Regulatory complexity continues to grow. Resistance is spreading. In this environment, farmers can't afford to follow incorrect recommendations.
A single application of prohibited pesticide could trigger federal enforcement action. Using the wrong rate could mean control failure and yield loss. Harvesting too early could result in rejected loads and lost contracts. These aren't theoretical risks - they're daily realities for farmers navigating an increasingly complex regulatory landscape.
This isn't about just catching small errors, it is about the possibility for an Ai review to prevent disasters. Every discrepancy identified is a potential farm saved from regulatory violation, crop loss, or market rejection.
Our Agricultural Intelligence Engine combines large language model capabilities with specialized agricultural training and hierarchical reasoning systems. It knows that federal law supersedes state guides, that EPA labels are legally binding, and that newer regulations replace older ones.
The system processes information like an experienced agricultural compliance officer would, but at superhuman speed and scale. It can simultaneously check hundreds of products against thousands of pages of regulations while synthesizing peer-reviewed research and field reports.
Most importantly, it provides complete citation trails for every finding, allowing human experts to verify its conclusions and make final determinations about necessary corrections.
We're actively seeking partnerships with land-grant universities, state departments of agriculture, pesticide manufacturers, and agricultural retailers to implement systematic AI-powered verification across the industry. Our pilot program offers:
- Complete guide audits before publication
- Resistance data integration
- Cross-jurisdictional consistency checks
- Custom verification for company materials
By catching errors before they reach the field, we can save farmers money, protect food safety, and maintain the credibility of our agricultural information systems.
This experiment started as a simple test: what would happen if we fact-checked both pages from the single facts in the last article? The answer revealed both the scope of the challenge and the power of the solution. With thousands of products, changing regulations, and evolving resistance patterns, maintaining accurate agricultural recommendations requires more than human diligence alone can provide.
As agricultural complexity continues to increase, the gap between what needs checking and what humans can check will only grow wider. Our Agricultural Intelligence Engine bridges that gap, ensuring every farmer gets accurate, legal, and effective recommendations.
The errors we found on page 48 of the LSU guide are now being corrected. But how many similar errors exist across the thousands of pages of agricultural guidance published each year? With AI verification, we can finally answer that question - and more importantly, fix the problems before they reach the field.
FarmMind is an agricultural intelligence platform transforming complex agricultural information into actionable, verified recommendations. Founded by LSU-trained engineers and agronomists, our mission is ensuring every agricultural decision is informed by accurate, current, and legally compliant information. The farmmind platform provided the worlds best Ai for Farmers called Farmer AI which is consistently being refined from feedback from agricultural professionals around the nation.
To learn more about FarmMind's AI-powered verification services, for any questions, or to point out any errors in this story visit www.FarmMind.org or contact support@farmmind.org.
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