🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

As a #trailblazer since the 1940s, @UCANR's Integrated Pest Management (IPM) research continues to evolve, ensuring effective and sustainable pest management solutions for over 65 types of crops. #CropProtection #AgriculturalInnovation #NPMTI ucanr.edu/sites/ucanr/?i…

The National Predictive Modeling Tool Initiative (NPMTI), which operates under the USDA-ARS, is issuing a Request for Proposals (RFP) to support NPMTI goals in FY2025. Submit your letter of intent now! agpmt.org/wp-content/upl… agpmt.org/wp-content/upl…

A University of Kentucky researcher has been analyzing the environmental factors leveraged by #NPMTI to uncover how different environmental conditions, such as temperature and humidity, affect the development and spread of #Tarspot scholars.uky.edu/en/projects/es…

Download our #TarSpotter app today! The app uses real-time data to help you identify and treat tar spot before it devastates your crop's health and yields. #NPMIT #PrecisionAg #HealthyCrops #GrowBigYields apps.apple.com/us/app/tarspot…

Drones and AI aren't just for tech enthusiasts—they're also transforming the way we scout crops and farm. From soil analyses to crop monitoring, these tools offer new perspectives to enhance farming efficiency. #AgTech #NPMTI #ArtificialIntelligence #AI #PredictiveModeling

Spore trapping and molecular tools are underutilized in disease detection models. NPMTI taps into their potential, building a forecasting system for better disease management. 🦠🔬 #DiseaseForecasting #SporeTrapping

Conservation practices boost sustainability but limit disease control tools. NPMTI adapts strategies for improved soil health and effective disease management. 🌾🌎 #ConservationAg #SoilHealth

Scientific advances in #predictivemodeling now allow for long-range weather forecasting, pathogen identification, and spore transport which allows farmers to prevent diseases before their crops are devastated. #NPMTI #GrowBigYields #PredictiveModeling #ROI agupdate.com/agriview/news/…

Climate change is a real threat to agriculture, but resilient farming practices are our best bet for food security. Our #NPMTI dashboard is here to protect your crops' health and help them thrive! #ClimateResilience #PredictiveModeling

🚨 Save the Date! 🚨 Join us for the FY25 NPMTI Annual Meeting in Pensacola, FL from February 27-28th – happening during a week filled with exciting agricultural meetings. Don't miss out – register below now!🌾#NPMTI #Agriculture #Networking #PlantScience agpmt.org/annual-meeting/

Check out the latest study on how environmental factors play a crucial role in developing robust predictive models for wheat diseases like rust and leaf blotch and combating rust diseases and PLB in Kansas. #WheatDiseases #PredictiveTools #NPMTI ars.usda.gov/research/proje…

The NPMTI Annual Meeting from Feb. 27-28 is still on, and we’re moving full speed ahead! Despite uncertainty, our commitment to agricultural innovation is stronger than ever. With the Trump administration signaling continued support for agriculture, the future is bright.

Fight back against tar spot with #TarSpotter! Use our app to monitor and manage the threat effectively. Available now for farmers for free! #AgTech #HealthyCrops #NPMIT apps.apple.com/us/app/tarspot…

Penn State's agroecosystem modeling is boosting crop productivity and sustainability. Learn about their projects aimed at reducing environmental impact and enhancing crop resilience. #SustainableFarming #NPMTI

Over the past few years, we collected 48 years of data to improve predictive models for tar spot and develop new models for gray leaf spot and northern corn leaf blight. This work is helping growers stay ahead of crop disease with data-driven decision-making.📊🌽#NPMTI

🧬 We’ve developed and validated primer sets for three major corn pathogens: tar spot, gray leaf spot, and northern corn leaf blight. This foundational work in molecular diagnostics is paving the way for earlier, more accurate disease detection in the field. 🔍🌱

NEW! Crop disease risk assessment tool at cropprotectionnetwork.org/crop-disease-f… Forecasting for tar spot, gray leaf spot, frogeye, and white mold. From Damon L. Smith National Predictive Modeling Tool Initiative Agricultural Research Service. UW–Madison CALS UW–Madison Wisconsin Agriculture - Extension #fungi #agx #agtwitter #crops #fungicide #forecasting #Farming

So excited to see this available! Thanks to Agricultural Research Service for funding through National Predictive Modeling Tool Initiative and great colleagues across the US

Busy day planting ACRE Purdue, soybean and corn trials in the ground for research supported by Indiana Soybean Alliance National Predictive Modeling Tool Initiative Indiana Corn Purdue Agriculture Purdue BPP

I suggest bookmarking these 3 new tools to help make disease management decisions this year Crop Protection Network Purdue Extension Indiana Corn Indiana Soybean Alliance Purdue BPP National Predictive Modeling Tool Initiative indianafieldcroppathology.com/three-new-tool…