Pacific Nut Producer Magazine

Tag: UC Riverside

  • American Pistachio Growers Awarded $1 Million for Regional Pest Management Collaboration

    American Pistachio Growers (APG), in collaboration with Washington State University, University of California – Riverside, UC Cooperative Extension, the USDA Agricultural Research Service and regional nut industry partners, has been awarded a $1 million grant through the California Department of Food and Agriculture’s Biologically Integrated Farming Systems (BIFS) Program to develop a Regional Integrated Pest Management (IPM) network for Navel Orangeworm (NOW) — the most damaging pest in California’s tree nut industry.

    The project, led by Dr. Houston Wilson (UC Riverside), Dr. David Crowder (WSU), Dr. Jhalendra Rijal (UC IPM), and Dr. Charles Burks (USDA ARS) will pilot a groundbreaking Decision Aid System (DAS) that integrates real-time trap data, weather models, and crop phenology into a single communication platform. The goal is to improve the timing and precision of pest control decisions while fostering regional cooperation among almond, pistachio, and walnut growers.

    “This project moves us beyond the farm gate,” said Joe Coelho, APG’s Director of Sustainability and Member Outreach, who serves as Technical Agronomist and PCA on the project. “For the first time, growers across commodities will have access to shared regional data and communication tools that allow them to anticipate pest pressure before it hits their fields and ultimately make precise, timely treatment decisions. The outcome is fewer sprays, lower costs, and higher quality nuts.”

    Through field-level data acquisition, the system’s meta-analytics will identify regional flight trends coupled with crop-specific phenological development and enhance forecasting of NOW flights — critical steps in breaking the pest’s lifecycle across neighboring farms. Ultimately, the program is expected to help reduce pesticide use, improve nut quality, and lower aflatoxin risk associated with pest damage.

    APG will serve as the grower administration partner, coordinating grower participation and outreach. Carlee Branco, APG Grant Programs Administrator, will conduct on-farm grower coordination, engagement and data collection. “This is a major milestone for sustainable pest management,” said Coelho, “and it demonstrates APG’s leadership in advancing research that directly benefits growers.”

    The Regional IPM for Navel Orangeworm Project represents a pivotal step toward the state’s Sustainable Pest Management (SPM) Roadmap by providing a scalable, data-driven framework that can be expanded statewide.

    “This is exactly the kind of innovation California agriculture needs,” said Dr. Wilson. “Regional coordination is essential to long-term pest reduction, especially for highly mobile insects like the navel orangeworm, and this project will now put those ideas into practice at scale.”

    The program launches in early 2026, with pilot regions in West Fresno County and Modesto, serving as the foundation for a future statewide expansion. Growers within these territories who are interested should contact Carlee Branco for more information at cbranco@americanpistachios.org.

    American Pistachio Growers (APG) is a non-profit trade association representing more than 800 growers and processors across California, Arizona, and New Mexico. APG’s mission is to enhance grower profitability through global marketing, industry research, and sustainability initiatives that promote economically viable and environmentally responsible pistachio production.

  • Beehive Sensors Offer Hope in Saving Honeybee Colonies

    A UC Riverside computer science team has developed a sensor-based technology that could revolutionize commercial beekeeping by reducing colony losses and lowering labor costs.

    Shamima Hossain and Boris Baer

    Called the Electronic Bee-Veterinarian, or EBV, the technology uses low-cost heat sensors and forecasting models to predict when hive temperatures may reach dangerous levels. The system provides remote beekeepers with early warnings, allowing them to take preventive action before their colonies collapse during extreme hot or cold weather or when the bees cannot regulate their hive temperature because of disease, pesticide exposure, food shortages, or other stressors.

    “We convert the temperature to a factor that we are calling the health factor, which gives an estimate of how strong the bees are on a scale from zero to one,” said Shamima Hossain, a Ph.D. student in computer science at UCR and lead author of a paper explaining the technology.

    This simplified metric — with a score of ‘one’ meaning the bees are at full strength — allows beekeepers unfamiliar with the underlying model to assess hive health quickly.

    A low-cost heat sensor on a beehive frame (UCR photo)

    Boris Baer, a UCR professor of entomology, believes the technology could revolutionize beekeeping, which is essential to vast sectors of global agriculture. Honeybees pollinate more than 80 crops and contribute an estimated $29 billion annually to U.S. agriculture. Yet bee populations have declined due to various factors, including habitat loss, pesticide exposure, parasites, and climate change.

    “Over the last year, the U.S. lost over 55% of its honeybee colonies,” Baer said, citing data from Project Apis m., which monitors beehive losses throughout the U.S. “We are experiencing a major collapse of bee populations, and that is extremely worrying because about one-third of what we eat depends on bees.”

    Beekeepers now rely on their own judgment and manual inspections to detect problems, often leading to delayed interventions. With EBV, they can get real-time insights and predict conditions days in advance, significantly reducing labor costs, said Baer, who collaborated with Hossain and other scientists at UCR’s Bourns College of Engineering.

    “People have dreamed of these sensors for a very long time,” Baer said. “What I like here is that this system is fully integrated into the hive setup that beekeepers already use.”

    Temperature fluctuations are among the first responses to any kind of threats to a hive’s health. Honeybees maintain a precise internal hive temperature between 33 and 36 degrees Celsius (91.4–96.8°F), a requirement for proper brood development and colony survival, Baer said.

    The EBV method is based on thermal diffusion equations and control theory, making its predictions interpretable to both scientists and beekeepers, Hossain said. The model uses temperature data collected from low-cost sensors installed inside the hive, feeding that information into an algorithm that predicts hive conditions several days in advance.

    In tests conducted at UCR’s apiary, the EBV method analyzed data from 10 hives during initial development and later expanded to 25 hives. The technology has already proven its effectiveness, detecting conditions that required beekeeper intervention.

    “When I looked at the dashboard and saw the health factor dropped below an empirical threshold, I contacted our apiary manager,” Hossain recalled. “When we went to check the hive, we found that there was actually something wrong, and they were able to take action to manage the situation.”

    Hyoseung Kim, an associate professor of electrical and computer engineering at UCR, explained that keeping costs low — under $50 per hive — is a high priority.

    “There are commercial sensors available, but they are too expensive,” Kim said. “We decided to create a very cheap device using off-the-shelf components so that beekeepers can afford it.”

    The research team is already working on the next phase, which is to develop automated hive climate controls that can be installed on hives and respond to EBV’s predictions, adjusting hive temperatures automatically.

    “Right now, we can only issue warnings,” Hossain said. “But in the next phase, we are working on designing a system that can automatically heat or cool the hive when needed.”

    The title of Hossain’s paper is “Principled Mining, Forecasting and Monitoring of Honeybee Time Series with EBV+” In addition to Hossain, Baer and Kim, the co-authors are Christos Faloutsos, professor of computer science at Carnegie Mellon University, and Vassilis Tsotras, professor of computer science and engineering at UCR.

    All the authors are with UCR’s Center for Integrative Bee Research, one of the largest pollinator health research hubs in the nation.

    The interdisciplinary collaboration was made possible through the UCR Data Science Center and the RAISE@UCR AI Institute. The research also has been supported by the U.S. Department of Agriculture’s National Institute of Food and Agriculture grants No. 2024-67022-43695 and No. 2024-67021-43696; UC Multicampus Research Programs and Initiatives award # M21PR2306; a UCR’s SoCal OASIS™  funding award; and the UCR Delfino Agriculture Innovation Seed Fund. — By David Danelski, UC Riverside

  • What Nut Growers Can Do to Combat the New Carpophilus Pest

    It seems we are always on the verge of some type of apocalypse, and with the new carpophilus beetle invading California tree nut orchards, there is cause for concern.  Watch this brief California Ag Network interview with UC Riverside CE Entomology Specialist Houston Wilson to learn more about this pest and how to stop it from damaging your crops.

  • Fumigation Considerations Before Replanting an Orchard

    It’s that time of the year when orchards are being pulled and growers begin preparing their soil for future plans.  For growers looking to replant their orchards, watch this brief interview with UC Riverside Nematologist Andreas Westphal as he shares some considerations to take for fumigation when it comes to nematode pressure.

    Please thank this video’s sponsor Suterra for their industry support.

  • A New Microscopic Almond Pest of Concern

    Another pest in almonds? Just what we needed, right? Only this one you can’t see.  Almond growers have been dealing with nematodes for a long time; however, the peach root knot nematode is new to California almond orchards.  Watch this brief interview with UC Riverside Nematologist Andreas Westphal as he explains and read more about it in Pacific Nut Producer Magazine.

    Please thank this video’s sponsor Trece for their industry support.

  • Autonomous Robot to Sample Leaves and Measure Water Potential

    Every backyard gardener knows how hard it can be to tell when to water the plants. Multiply that by tens or hundreds of acres and it’s easy to see the challenges growers face keeping their crops healthy while managing water resources wisely.

    To determine water needs accurately, growers hand-pluck individual leaves from plants, put them in pressure chambers, and apply air pressure to see when water begins to leak from the leaf stems. That kind of testing is time consuming and means growers can only reach so many areas of a field each day and cannot test as frequently as needed to accurately determine optimal irrigation scheduling patterns.

    A group of researchers from UC Riverside and UC Merced have received a grant for more than $1 million from the U.S. Department of Agriculture through the National Science Foundation’s National Robotics Initiative to address these challenges. From UC Riverside are Assistant Professor Konstantinos Karydis and Professor Amit K. Roy-Chowdhury, both from the Department of Electrical and Computer Engineering. UC Merced, which leads the effort, is represented by Stefano Carpin, professor of computer science; and Joshua Viers, professor of environmental engineering.

    UC Riverside Assistant Professor Konstantinos Karydis

    As part of the project, the group is developing a robotic pressure chamber that can autonomously sample leaves and immediately test them on site to provide the freshest data. The system will work to gather data even in large fields, and over a period of time, rather than just providing a snapshot.

    Frequently updated data can help growers better plan irrigation schedules to conserve water, optimize the time and effort spent by crop specialists tasked with determining and analyzing lead water potential, and help decrease some of the costs in the food-production chain.

    UC Riverside Professor Amit K. Roy-Chowdhury

    Current measuring techniques involve collecting leaf samples and transporting them to an off-site location, where testers can use very accurate, expensive pressure chambers; or sampling and analyzing leaf samples in the field using hand-held pressure chambers.

    “In the first category, leaf samples can get mixed up, making it impossible to track them back to the specific areas of the field they came from, Karydis said. “In addition, the properties of the leaf might vary given the time elapsed between being sampled and being analyzed, which in turn may yield misleading results.”

    Hand-held instruments in the field can be less accurate, but testing can be done multiple times with different leaves from the same plants. This method is time- and labor-intensive, and must be undertaken by specially trained personnel.

    Carpin has already worked with colleagues at UC Davis and UC Berkeley to create the Robot-Assisted Precision Irrigation Delivery, or RAPID, system, which travels along rows of crops adjusting irrigation flows according to sensor data that tells the robot precisely what’s needed for each plant.

    The project will use the same mobile base robot as in RAPID but equip it with a custom-made robotic leaf sampler and pressure chamber being designed by the researchers at UC Riverside, and pair it with drones that can survey the fields and direct the robot to areas of interest.

    “Using this process, growers could survey plants all day long, even in large fields,” Carpin said.

    The four-year project will support graduate students as well as summer research opportunities for undergraduates. The project has four phases: development of the chamber; developing machine vision so the robot can “see” the water coming from the leaf stems; coordinating multiple robots — in the air and on the ground; and evaluation.

    The researchers plan to have the first set of automated pressure chamber prototypes fabricated by spring 2021, and to evaluate their performance and refine designs in controlled settings over spring and summer 2021. They expect to have a completed setup by winter 2022, so they can begin controlled field testing.

    “We have to be quick about it because if we miss a peak growing season, we have to wait another nine months for the next one,” Carpin said. “We’d like to be able to start testing next summer and test every summer, and we need to be able to maximize the tests.”

    When all of the components have been designed, the designs and code will be made open source, and all the data collected during the project will be made available to the scientific community, the researchers wrote in their proposal.

    The project came about after Carpin and Viers, director of the Center for Information Technology Research in the Interest of Society, or CITRIS, at UC Merced, had been talking with area farmers about the challenges of growing almonds and grapes. Karydis and Roy-Chowdhury had been hearing the same challenges from citrus and avocado growers in the Riverside area, so the four partnered up.

    “California agriculture presents a challenge in terms of scalability,” Carpin said. “But this an exciting collaboration because we’ll get to develop a system that will work on different kinds of crops.” — By Holly Ober, UC Riverside