Precision Ag & Wildlife Services LLC
La Grange, Texas
The research behind the work
Every service we offer is grounded in independent research from land-grant universities — Texas A&M AgriLife, the Caesar Kleberg Wildlife Research Institute, and others — and in peer-reviewed studies, much of it done right here in Texas. Below is what that research actually found, organized by service, with a link to every source. It also states plainly what the technology can’t do, because an honest picture is the only kind worth handing you.
1 · Spray & Spread
As effective as a ground rig — better where it counts.
Independent university research finds that drone application matches ground-rig efficacy for the right jobs — and outperforms it on the small, brushy, wet, and irregular ground where a truck or airplane struggles. That is exactly the work we fly.
← Back to the plain-talk spraying pageThe Texas brush problem — what it costs you
A single adult mesquite tree can consume up to 20 gallons of water per day at peak growing season, and prickly pear density can rise 25–30% per year during prolonged drought.
— Texas A&M AgriLife ResearchTexas A&M AgriLife Extension’s rule of thumb: every pound of weeds cleared grows back at least a pound of grass — often more.
— Texas A&M AgriLife ExtensionAgriLife Extension estimates brush encroachment costs Texas producers hundreds of millions of dollars in lost grazing capacity every year.
— Texas A&M AgriLife ExtensionDoes it work as well as a ground rig? — Yes
A Mississippi State experiment-station study compared insecticide applied by drone against a high-clearance ground sprayer across cotton, soybeans, and grain sorghum, and found drone applications equally effective as the ground rig.
— Mississippi Agricultural & Forestry Experiment Station (MAFES), Mississippi State University · MAFES Discovers — “Drone Downpour”A peer-reviewed performance study found drones delivered more homogeneous coverage than boom sprayers, which can produce uneven coverage and over-application — with a modestly lower deposition rate the honest trade-off.
— Scientific Reports (Nature), 2025 · doi.org/10.1038/s41598-025-25353-1Virginia Tech Extension research showed aerial spray drones gave greater late-postemergence weed control than tractor sprayers when weeds and crop were large and overlapped.
— Virginia Tech / Virginia Cooperative Extension · 2024 Mid-Atlantic Spray Drone Workshop (SPES-619, PDF)Where drones win — our exact niche
Where terrain or soil conditions rule out traditional ground sprayers. Where airplanes and helicopters are unavailable or too expensive. For spraying small, irregular-shaped fields more efficiently. To reduce the applicator’s exposure to the chemical during application.
— Ohio State University Extension (Ohioline) · ohioline.osu.edu/factsheet/fabe-540Mapping the brush before we spray — proven
A South Texas study flew multispectral imagery over two ranches to distinguish huisache and honey mesquite from native rangeland, then measured the herbicide’s effect one year later — the same survey-map-treat-verify workflow we use.
— Remote Sensing, 2023 (Refugio & San Patricio Counties, TX) · doi.org/10.3390/rs15133211Dry spreading — seed & fertilizer
A note of candor: the independent research on drone dry-spreading is younger and thinner than the spray literature, and much of it is international or engineering-focused. The early findings are promising, and we calibrate every product by weight before application.
In a peer-reviewed field trial, a drone sowed rice 2.2 times faster than a mechanical direct seeder and 4 times faster than a transplanter, cutting labor cost by 68.5% and 82.5% respectively. The same trial is candid that the drone was far less efficient than ground equipment at spreading fertilizer.
— Qi et al., Frontiers in Plant Science, 2022 · doi.org/10.3389/fpls.2022.953753Extension and industry sources agree dry-spreading drones shine at cover-crop and no-till seeding and at spreading over soft or saturated ground a tractor would rut or cannot reach — our field-access advantage applies to granular work too.
— UF/IFAS Extension; industry technical literature · ask.ifas.ufl.edu/publication/AE611Honest limits — so you can trust the rest
We are precision & overflow, not a tractor replacement. Virginia Tech / USDA-ARS researchers note that drones with rotary atomizers are built for low-volume application and may not match a tractor at high spray volumes. We fly the small, brushy, wet, and irregular acres a rig can’t do well — not open high-volume broadcast, which stays with your ground equipment. Our aircraft carries both atomizer and hydraulic nozzle sets to match droplet size to each product’s label.
— Virginia Tech / USDA-Agricultural Research Service · SPES-619 (PDF)
The bottom line: the science says drone application works — as well as a ground rig on the acres both can reach, and better on the acres only a drone can. We bring that capability to the corners, brush, and wet ground your other options leave behind.
2 · MLDP Deer Surveys
Census accuracy, without the helicopter.
The short version: independent, Texas-based research shows thermal drone surveys count deer as reliably as the methods you already trust — helicopter, spotlight, trail camera — while being safer for the crew and easier on the herd, when they are flown and corrected the right way.
← Back to the plain-talk deer surveys pageAs accurate as the methods you know
On South Texas ranches, thermal drone estimates — after a visibility-bias correction — came out similar to corrected helicopter and trail-camera surveys, and repeated drone surveys were more consistent than helicopter.
— Blum et al., Wildlife Society Bulletin, 2024 (CKWRI) · doi.org/10.1002/wsb.1515Flown over a captive deer herd whose exact number was known, thermal drone counts were accurate — with evening flights the most consistent.
— Beaver et al., Wildlife Society Bulletin, 2020 · doi.org/10.1002/wsb.1090Thermal detects animals in woody cover that hold still instead of fleeing — unlike a helicopter, which needs deer to break into the open — which lowers the availability bias that skews crewed-aircraft counts.
— Blum et al., Wildlife Society Bulletin, 2024 (CKWRI)Safer for the crew, easier on the herd
Helicopters and airplanes are the traditional aerial-survey vehicles, but they are dangerous and expensive for crews — and inconsistent, detecting only 20–70% of marked deer in one rangeland study. A drone takes the crew out of the aircraft.
— Blum et al., Wildlife Society Bulletin, 2024 (CKWRI)A quiet thermal flight lets deer stay undisturbed, unlike the rotor noise a helicopter uses to push animals into the open — survey stress is tied to conception, fawn survival, and antler development, and canopy-hiding exotics like axis deer can be surveyed with far less disturbance.
— Texas wildlife-survey extension & operator sourcesWe fly it right — timing & correction
A Texas-wide study mapped, county by county and month by month, when temperatures climb past the ceiling for reliable deer detection — the kind of scheduling we build into every survey.
— Camacho et al., Scientific Reports, 2023 (CKWRI) · doi.org/10.1038/s41598-023-31150-5Pre-programmed thermal (isotherm) settings enabled night surveys on a South Texas ranch, with detection probabilities of 0.84 in winter and 0.65 in summer — and distance-sampling correction beats a bare headcount.
— Drones (MDPI), 2026 — South Texas night surveys · doi.org/10.3390/drones10020127An experimental assessment showed observer, time-of-day, and day-to-day variation all move the count — which is why we standardize how every survey is flown and read.
— McElhinny et al., Wildlife Biology, 2025 · doi.org/10.1002/wlb3.01557Honest limits — so you can trust the rest
Dense brush still blocks the view. On heavily canopied ground the drone can miss animals, and without a visibility-bias correction a survey can undercount — the same trap that made a drone study badly underestimate kangaroos in Australia. Our answer is disciplined timing (leaf-off, twilight/night) plus distance-sampling correction, and being candid when a pasture’s canopy limits confidence.
— Blum et al., Wildlife Society Bulletin, 2024 (CKWRI) · doi.org/10.1002/wsb.1515
The bottom line: the research supports thermal drone deer surveys as a credible, MLDP-grade census method — as accurate as the tools you know, safer for the crew, and easier on the herd — when flown and analyzed correctly. That discipline is what we bring.
3 · Multispectral Monitoring
It tells the spray drone where to work.
A multispectral flyover turns your ground into a map — where it’s thriving, where it’s stressed, and where the brush is. That map is what tells the spray drone exactly where to work, so you treat the problem instead of the whole pasture.
← Back to the plain-talk mapping pageWhat the map actually tells you
Multispectral cameras read near-infrared and red-edge light to show plant health, cover, density, biomass, and even species composition — the basis for NDVI and related indices used across rangeland monitoring.
— New Mexico State University Extension (CR-708) · pubs.nmsu.edu/_circulars/CR708In grassland studies, drone multispectral imagery estimated standing forage biomass and ground cover, and tracked how much forage a pasture lost before and after grazing.
— PLOS ONE, 2021 (grassland forage biomass & cover) · doi.org/10.1371/journal.pone.0245784Head-to-head, the NDVI from a multispectral sensor tracked forage biomass more reliably than an ordinary color (RGB) camera — the reason the mapping drone carries a real multispectral array.
— Sensors (MDPI), 2024 · doi.org/10.3390/s24175794 · also Remote Sensing (MDPI), 2019, pasture biomass & grazing mapping with a multispectral UASMapping the brush — then feeding the spray
A South Texas study flew multispectral imagery over two ranches to tell huisache and honey mesquite apart from native rangeland, then measured the herbicide’s effect a year later.
— Remote Sensing (MDPI), 2023 — Refugio & San Patricio Counties, TX · doi.org/10.3390/rs15133211That brush map becomes the prescription that tells the drone where to spot-spray — so you pay for the acres that actually need it. The map is the multiplier: it turns a flyover into a prescription, and a prescription into treated-acre spray revenue.
Texas is already doing this work
Texas A&M AgriLife’s digital-agriculture program builds prescriptive tools from UAV multispectral imagery and AI for Texas production systems — the same survey-to-prescription approach we bring to your ground.
— Texas A&M AgriLife Research & Extension Center at Corpus Christi · ccag.tamu.edu — Digital AgricultureHonest limits — so you can trust the rest
Color alone isn’t the whole story. A vegetation index doesn’t fully measure usable forage — species, structure, moisture, and quality matter too. The NDVI-to-forage relationship is strong on calibrated plots but weakens across mixed rangeland, so a map needs local calibration and ground-truthing. We calibrate to your ground and are candid when confidence is limited.
Pasture, not row crop. We rate monitoring conservatively — as a prescription-mapping tool that sells more precise spray work, not as a high-dollar row-crop yield service. It earns its keep by aiming the spray, not by standing alone.
— PLOS ONE, 2021 & NMSU Extension · doi.org/10.1371/journal.pone.0245784
The bottom line: drone multispectral mapping is a real decision tool — best used to target inputs and drive precise spray, and most reliable when calibrated to your ground. That is exactly how we use it.
Sources above are university Extension programs and peer-reviewed publications; figures are from the cited studies, not our own testing, and are not a guarantee of results on any specific property.
Read the plain-talk version