Tristen H. Avent, Jason K. Norsworthy, Thomas R. Butts, Gerson Drescher
{"title":"Integrating cover crops and targeted herbicide applications in cotton production","authors":"Tristen H. Avent, Jason K. Norsworthy, Thomas R. Butts, Gerson Drescher","doi":"10.1002/agg2.70132","DOIUrl":"10.1002/agg2.70132","url":null,"abstract":"<p>Cover crops are part of integrated weed control management to help mitigate herbicide resistance evolution. Targeted sprays from the John Deere See & Spray are currently not recommended in cover crops. Experiments were conducted yearly from 2022 to 2024 in Keiser, AR, to evaluate targeted applications (TAs) with cover crops in cotton (<i>Gossypium hirsutum</i> L.). Treatments assessed the main effect of winter cover crop (fallow, cereal rye [<i>Secale cereale</i> L.], or hairy vetch [<i>Vicia villosa</i> Roth]), herbicide application methods (nontreated, broadcast [BC], TA + BC residuals [TA + BCRs], or TA only), and the interaction on cotton tolerance, weed control, and herbicide savings. Cereal rye generally aided weed control efforts across the weeds evaluated, and there were instances of herbicide savings at the preemergence and mid-postemergence (MPOST) timings when using TA or TA + BCR relative to BC. In some instances, TA POST + RES reduced weed control. At layby, TA-only applications reduced Palmer amaranth control by 5–10 percentage points in winter fallow systems compared to the BC in 2022 and 2023. In 2024 at MPOST, low herbicide savings occurred in the winter fallow cover systems (2.9%), whereas TA + BCR saved 29.4% and 26.5% for cereal rye and hairy vetch, respectively. In conclusion, See & Spray improved environmental stewardship and could detect and treat weeds in standing cover crop biomass, providing comparable control to the BC application at the end of the season (≥92% for all species).</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70132","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amanda M. Nelson, Paul Rodrigue, Matthew T. Moore, Christopher D. Delhom
{"title":"Determining a water budget for an established tailwater recovery system in the Mississippi Alluvial Plain","authors":"Amanda M. Nelson, Paul Rodrigue, Matthew T. Moore, Christopher D. Delhom","doi":"10.1002/agg2.70137","DOIUrl":"10.1002/agg2.70137","url":null,"abstract":"<p>In the Mississippi Alluvial Plain, also known as the Delta, tailwater recovery (TWR) on-farm storage (OFS) systems are a best management practice to address both water quality and quantity issues. TWR/OFSs are surface water capture and irrigation reuse systems, consisting of a ditch to capture surface water and often a reservoir to store captured water and pumps to move surface water from the ditch into either an OFS reservoir or to irrigate nearby fields. To determine if established TWR systems are an effective way to reduce groundwater use, a ditch-only TWR system in Sunflower County, MS was equipped with velocity and flow meters, water level loggers, and rain gauges. The objective of this study was to determine a fully measured water budget for an older TWR system. This study found 22% of the total applied irrigated water over two growing seasons was from the collected tailwater runoff. During the 2023 growing season, only 15.5% of the input water was lost from the system through the outflow pipe, indicating that 84.5% of the input water (precipitation plus irrigation) during the growing season was retained in the soil, utilized for plant growth, or was recirculated in the TWR. After a decade of use, the studied TWR system is meeting its dual purpose of reducing groundwater pumping and enhancing residence times, which could have water quality and hydrologic benefits.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ellie Kuhn, Beatriz Moreno-García, Michele L. Reba, Kusum Naithani, Benjamin R. K. Runkle
{"title":"Modeling rice leaf area index and canopy height in the US Mid-South region","authors":"Ellie Kuhn, Beatriz Moreno-García, Michele L. Reba, Kusum Naithani, Benjamin R. K. Runkle","doi":"10.1002/agg2.70139","DOIUrl":"10.1002/agg2.70139","url":null,"abstract":"<p>Crop growth modeling plays a critical role in addressing the global challenges of food scarcity, carbon cycling, and water management. By simulating crop development from environmental factors, these models help predict harvest yield and carbon or water cycle terms and thus can inform policy and investment decisions. However, for some agricultural regions, such as the US Mid-South, there is a lack of comprehensive data specific to rice (<i>Oryza sativa</i>) cultivars and their growing conditions. Here, we use 30 field seasons of observational data to predict leaf area index (LAI) and canopy height (H<sub>can</sub>), key inputs for crop growth models, for numerous rice cultivars grown under different conditions in east-central Arkansas. Our results show that a peaked response to the accumulated growing degree day (LAI: <i>R</i><sup>2 </sup>= 0.83, root mean square error (RMSE) = 0.97 m<sup>2</sup> m<sup>−2</sup>; H<sub>can</sub>: <i>R</i><sup>2 </sup>= 0.90, RMSE = 10.9 cm) is a better functional form than one without temperature information, that is, driven only by days after planting (LAI: <i>R</i><sup>2 </sup>= 0.73, RMSE = 1.22 m<sup>2</sup> m<sup>−2</sup>; H<sub>can</sub>: <i>R</i><sup>2 </sup>= 0.83, RMSE = 14.5 cm). Additionally, predictions from a cultivar-agnostic model are comparable to the predictions from cultivar-specific models, suggesting that the broader cultivar-agnostic model is sufficient and can be widely applied to rice production systems in this region. Such a generalized model can support yield prediction efforts, disentangle carbon cycle terms, or be used for crop stress detection.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rebecca K. McGrail, Jim A. Nelson, Robert C. Pearce, Rebecca L. McCulley
{"title":"Hemp root system architecture and allometric relationships vary between monoecious and dioecious cultivars","authors":"Rebecca K. McGrail, Jim A. Nelson, Robert C. Pearce, Rebecca L. McCulley","doi":"10.1002/agg2.70123","DOIUrl":"10.1002/agg2.70123","url":null,"abstract":"<p>Hemp (<i>Cannabis sativa</i> L.) cultivation in the United States is reemerging following legalization in the 2018 Farm Bill. Cultivation of hemp for fiber, grain, and flowers has encountered many challenges, including stand establishment and unknowns regarding ecosystem services the crop may provide. Hemp proponents have touted hemp as being carbon neutral or negative, but there is limited research on its root system, the most direct pathway for carbon into soil. Therefore, we sought to measure root system architecture across a subset of commercially available cultivars and to measure aboveground traits to develop allometric relationships that could be used for carbon market estimates. Two monoecious (Fibror 79 and Futura 75/83) and two dioecious cultivars (New West Genetics 2730 and Yuma) were selected from the University of Kentucky's Hemp Trials in 2022 and 2023. Plants (<i>n</i> = 16 total per cultivar; eight per sex for dioecious cultivars) were randomly selected and excavated at early senescence. Plant height, stem basal diameter, aboveground biomass, and root biomass were quantified for development of allometric relationships. Root systems were imaged in PhotoCapture360 and analyzed for root traits, such as total length and average diameter, with GiARoots. Basal diameter was predictive of both aboveground and belowground biomass (<i>r</i><sup>2</sup> = 0.69 and 0.77, respectively). Additionally, female and monoecious root systems had smaller diameters but were twice as large as male root systems in mass and surface area. Overall, this study developed predicative equations that may be useful in quantifying hemp's growth and carbon capture potential by flowering behavior.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tina Sullivan, Matt Yost, Jessica Schad, Marion Murray
{"title":"Lessons learned from the rise and the fall of floral hemp production in Utah","authors":"Tina Sullivan, Matt Yost, Jessica Schad, Marion Murray","doi":"10.1002/agg2.70121","DOIUrl":"10.1002/agg2.70121","url":null,"abstract":"<p>The floral hemp (<i>Cannabis sativa</i> L.) industry rapidly emerged in Utah in 2019 with 217 licensed growers on nearly 400 ha and has since declined annually due to market uncertainty. This scenario provided a unique opportunity to understand barriers to market entry, production challenges, and opportunities for research and education for this emerging crop. To gather information, we delivered an online survey in spring 2021 to licensed floral hemp Utah growers. Note that 85 complete responses were received by August, representing 72% of Utah counties and covering both outdoor and indoor production. Many respondents (62%) grew more than one cultivar, with Trump, Cherry Wine, and Trophy Wife being most common. Fertilizer needs were determined by plant vigor visual symptoms (14%) or crop consultants’ recommendations (16%), and often in combination with commercial lab recommendations (25%). Growers commonly reported limited fertilizer applications and those who did apply N used a rate of 10–160 kg N ha<sup>−1</sup>. Irrigation by drip was most common, with rates ranging between 279 and 508 mm (35%), and previous experience (35%) and soil moisture sensors (47%) were the most common rate determinants. Pest management responses were less focused with a wide range of reported pests. Reported production costs ranged widely from $1200 to $49,000 ha<sup>−1</sup> with 43% of respondents not selling their harvested biomass at season end and often storing material, which required them to continue holding a license. Results indicate opportunities for improved fertilizer, irrigation, and pest management practices for hemp producers in Utah to narrow and refine product quality, production costs, and revenues.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70121","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Plant spacing and cultivar effect on industrial hemp growth, biomass, and cannabinoids yield","authors":"Deepak Khatri, Saroop S. Sandhu, Flint Johns, Hardev Sandhu, Anuj Chiluwal","doi":"10.1002/agg2.70128","DOIUrl":"10.1002/agg2.70128","url":null,"abstract":"<p>There is rising interest in the United States for industrial hemp (<i>Cannabis sativa</i> L.) cultivation as a new cash crop after the recent reversal of its production ban. Due to limited research during its long prohibition, little information is available regarding its optimal cropping system and crop management practices. Hence, the study was conducted to identify the optimal plant spacing for two cannabidiol (CBD)-dominant industrial hemp cultivars (BaOX and Wife) in Florida. Three plant spacing treatments, that is, 61 cm (24 in.), 91 cm (36 in.), and 122 cm (48 in.), were used with a common row spacing of 1.52 m. Plant height, chlorophyll content using soil plant analysis development 502, and canopy cover using Canopeo were recorded every 2-weeks interval throughout the crop growing season. The final biomass yield, CBD, and delta-9-tetrahydrocannabinol (THC) yield were also recorded. The results showed no significant differences between the cultivars in biomass, CBD yield, and plant growth and physiological parameters in most of the observations. Plant height and chlorophyll content were mostly unaffected by spacing. Canopy cover was higher during most of the growing season at lower spacing. Dry biomass yield per plant was higher with wider spacing, but there was no significant difference in total biomass yield per unit area. Wider spacing (91 and 122 cm) also resulted in higher CBD and THC yield in one of the tested cultivars (BaOX). The results suggest that wider plant spacing in industrial hemp could help maximize CBD production in Florida and other regions with similar environmental conditions.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144140564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adam R. Kennedy, Sushmita K. Sharma, Clarke G. Alder, Albert T. Adjesiwor
{"title":"Relating soil herbicide residue levels to sugar beet stand and growth reduction","authors":"Adam R. Kennedy, Sushmita K. Sharma, Clarke G. Alder, Albert T. Adjesiwor","doi":"10.1002/agg2.70131","DOIUrl":"10.1002/agg2.70131","url":null,"abstract":"<p>One common recommendation given to farmers who suspect herbicide carryover to sugar beet (<i>Beta vulgaris</i> L.) is to conduct laboratory tests to assess herbicide residue levels in the soil. While this is often a good practice, there are currently no guidelines on how these laboratory test results relate to sugar beet damage or yield loss. Greenhouse studies were conducted in 2022 and 2023 to assess the relationship between soil residue levels of six herbicides (flumioxazin, imazamox, mesotrione, metribuzin, rimsulfuron, and terbacil) and sugar beet stand and growth reduction. At levels below the limit of detection in the laboratory, rimsulfuron reduced sugar beet stand density by more than 50% and biomass by 25%. Sugar beet stand density and biomass were reduced by about 40% and 25%, respectively, at metribuzin residue levels below the limit of detection. Similarly, flumioxazin reduced stand density and biomass by 50% at residue levels below the limit of detection. Stand density and biomass reduction due to mesotrione exceeded 50% even at residue levels below the limit of detection. Imazamox and terbacil caused minimal sugar beet stand and biomass reduction at residue levels below the limit of detection. These results demonstrate that laboratory analysis of herbicide residue levels in the soil must be accompanied by a bioassay to determine the potential crop damage from herbicide carryover.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of plant density on stem diameter, plant height, and branching in hemp (Cannabis sativa L.)","authors":"Autumn Brown, Maria Soutor, Shelby Ellison","doi":"10.1002/agg2.70126","DOIUrl":"10.1002/agg2.70126","url":null,"abstract":"<p>Hemp (<i>Cannabis sativa</i> L.) is a dioecious, diploid (2<i>n</i> = 2<i>x</i> = 20), photoperiod-sensitive crop cultivated worldwide for a variety of uses, including food, feed, medicine, and fiber. Hemp is parsed into different market types, including fiber, grain, dual purpose, and high cannabinoid production. Planting densities for the different market types varies greatly, with fiber production systems planted at a much higher density than those for cannabinoid production. Current recommendations for fiber seeding rates range between 45 and 67 kg per hectare (kg ha<sup>−1</sup>), with other recommendations reaching 90 kg ha<sup>−1</sup>. However, few studies have been conducted to determine optimal planting density while considering fiber quality, yield, and input cost. In this study, we used four different planting densities (221 plants m<sup>−2</sup>, 111 plants m<sup>−2</sup>, 74 plants m<sup>−2</sup> and 55 plants m<sup>−2</sup>) in a replicated greenhouse trial to study their effect on plant height, stem diameter, and branching. Planting density significantly affected each trait, with a seeding density of 221 plants m<sup>−2</sup> producing the thinnest, shortest, and least branched plants. All stem traits were positively correlated with plant height, and stem diameter was the most correlated. A planting density of 111 plants m<sup>−2</sup> reduced branching but still produced long, thin stems, translating into a high bast fiber yield while reducing seed input costs and competition between plants.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paul Cockson, Andrea Webb, Natalia Martinez-Ochoa, Lindsey Moffitt, Robert Pearce, Manohar Chakrabarti
{"title":"Impact of seed moisture and temperature on hemp seed germination","authors":"Paul Cockson, Andrea Webb, Natalia Martinez-Ochoa, Lindsey Moffitt, Robert Pearce, Manohar Chakrabarti","doi":"10.1002/agg2.70129","DOIUrl":"10.1002/agg2.70129","url":null,"abstract":"<p>Germination rates of commercial lots of hemp have been highly variable, resulting in poor stand establishment. Germination rates in some seed lots have decreased by 50% after only 1 year of storage. The objective of this trial was to investigate the impact of seed storage conditions on seed germination over time. Industrial hemp (IH) seeds (cv. NWG2730) were harvested from the field. The seeds were cleaned, sorted, and dried to specific moisture contents (MC) 6%, 8%, 10%, and 14%. Seeds were subdivided, placed in hermetically sealed packets, and stored at temperatures of −20°C, 4°C, 10°C, or 21°C for 3, 6, 12, 18, and 24 months. At each increment, seeds were removed from storage and sterilized using hot water and bleach treatment, and subjected to germination tests. A tetrazolium test (1% solution on a sub-sample of seeds [<i>n </i>= 50]) at 3 and 24 months was conducted. Results indicated an interaction between seed MC and storage temperature over time. At higher MCs (10% and 14%), germination decreased over time with the decline being more rapid at warmer temperatures. For viability, a similar trend occurred with a combination of higher temperature and MC resulting in lower seed viability. These results suggest that optimal storage conditions for intermediate storage of IH seed should focus primarily on keeping seed moisture at <8% and storing seeds at 4°C to10°C. Our data suggest that the variability in germination of commercial hemp seed lots may in part be attributed to loss of seed viability as a result of less-than-ideal storage conditions.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samikshya Subedi, Ayoub Kechchour, Michael Kantar, Vasudha Sharma, Bryan C. Runck
{"title":"Can gridded real-time weather data match direct ground observations for irrigation decision-support?","authors":"Samikshya Subedi, Ayoub Kechchour, Michael Kantar, Vasudha Sharma, Bryan C. Runck","doi":"10.1002/agg2.70100","DOIUrl":"10.1002/agg2.70100","url":null,"abstract":"<p>Agricultural decision-support systems are commonplace in extension and outreach. These systems typically rely on either historical or direct ground observations to make grower recommendations. Sensor data create many challenges for application developers, though, including managing device-level characteristics, ensuring observation data quality, and handling missing data. In many data flows for decision support, encapsulation is a best practice development approach where data collection and storage are isolated from application development by application programming interfaces (APIs). Here, we consider the data quality of gridded and non-gridded weather data types in agricultural modeling for predicting evapotranspiration (ET) and growing degree days (GDD). We compare API-accessible gridded datasets from GEMS Exchange to MESONET (mesoscale network of weather and climatological stations) data from the Minnesota Department of Agriculture (MDA). We evaluate the data sources directly for goodness-of-fit for solar radiation, temperature (min and max), dew point, and wind speed, as well as downstream predictions of reference ET (ETref) and GDD. Our findings show that gridded data, despite its tendency to overestimate solar radiation, does not significantly impact the accuracy of ET (<i>R</i><sup>2 </sup>= 0.92 for 2022 and 0.93 for 2023; root mean square error [RMSE] = 0.55 mm for 2023) or GDD predictions (<i>R</i><sup>2 </sup>= 0.99 for 2022 and 0.98 for 2023; RMSE = 0.53°C [2022], RMSE = 0.70°C [2023]). This suggests that application programming interface (API)-based gridded data, accessible for all locations, can be reliably used for ETref and GDD modeling for decision support and complements MESONET measures by providing developers with standard software interfaces for real-time weather information.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}