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As agriculture becomes an increasingly data-driven sector, it is important to understand the technology use and barriers by the service providers who work closely with producers. This is especially important as these individuals can serve as drivers for technology adoption by farmers and ranchers. Although many surveys have looked at technology adoption by producers, little data on agricultural industry service providers exists. Surveys of Extension Professionals (EP) in Iowa, Michigan, North Dakota, Ohio, and Wisconsin, and several categories of Agricultural Service Providers (ASP) in Wisconsin were administered in 2018 to determine satisfaction with internet service and to learn more about information and technology usage and potential barriers to its adoption within the industry. In addition, follow-up informational telephone interviews were conducted with 13 Wisconsin EP. A paper survey was administered to ASP, which had a response rate of 35% (N=462). A similar online survey was administered to EP having an estimated 23% response rate (N=223). The frequency of transmission of data, information, and recommendations was high but specialized for both groups with more frequent use in crop production versus livestock (including dairy). The most commonly-cited barriers associated with the adoption of digital technologies by ASP were related to attracting and hiring well-qualified IT employees, training for both employees and clients, and data security. While data security was a commonly cited barrier, 16% of ASP worked for companies that did not have written policies on data privacy. ASP and EP consider their clients to be adept at using text messages, images, maps, and smartphones. They do not consider their clients to be skilled in their use of digitally accessed and used financial statements, spreadsheets, or laboratory analysis reports. Additional training should be better focused on these areas for ASP and EP which would allow them to be more effective in educating producers and to better realize the value associated with more thoughtful and widespread digital technology adoption. [ABSTRACT FROM AUTHOR]

As agriculture becomes an increasingly data-driven sector, it is important to understand the technology use and barriers by the service providers who work closely with producers. This is especially important as these individuals can serve as drivers for technology adoption by farmers and ranchers. Although many surveys have looked at technology adoption by producers, little data on agricultural industry service providers exists. Surveys of Extension Professionals (EP) in Iowa, Michigan, North Dakota, Ohio, and Wisconsin, and several categories of Agricultural Service Providers (ASP) in Wisconsin were administered in 2018 to determine satisfaction with internet service and to learn more about information and technology usage and potential barriers to its adoption within the industry. In addition, follow-up informational telephone interviews were conducted with 13 Wisconsin EP. A paper survey was administered to ASP, which had a response rate of 35% (N=462). A similar online survey was administered to EP having an estimated 23% response rate (N=223). The frequency of transmission of data, information, and recommendations was high but specialized for both groups with more frequent use in crop production versus livestock (including dairy). The most commonly-cited barriers associated with the adoption of digital technologies by ASP were related to attracting and hiring well-qualified IT employees, training for both employees and clients, and data security. While data security was a commonly cited barrier, 16% of ASP worked for companies that did not have written policies on data privacy. ASP and EP consider their clients to be adept at using text messages, images, maps, and smartphones. They do not consider their clients to be skilled in their use of digitally accessed and used financial statements, spreadsheets, or laboratory analysis reports. Additional training should be better focused on these areas for ASP and EP which would allow them to be more effective in educating producers and to better realize the value associated with more thoughtful and widespread digital technology adoption. [ABSTRACT FROM AUTHOR]

Adopting no-till planting can have many soil health benefits and cost savings but may present challenges with respect to planter performance. Aftermarket attachments such as hydraulic row unit down force and closing wheels have been hypothesized to overcome the challenges of uneven planting depth and poor furrow closure due to residue within the field. In addition, starter fertilizer could improve early season growth in cooler soil conditions. This study evaluated the effect of closing wheel type, row unit down force, and starter fertilizer on corn (Zea mays L.) emergence and yield across soil types and micro-climates within Wisconsin. Aftermarket closing wheels were compared to a standard (rubber) factory provided one, within two down force settings (Low at 333 N and High at 667 N) and liquid starter fertilizer (0 and 47 L ha-1 of 7-21-7). The standard rubber closing wheel with high down force resulted in lower emergence compared to the low setting (p = .013). No effect of starter fertilizer was observed on either emergence or yield. Aftermarket wheels resulted in greater emergence regardless of down force setting, which might appear to be an advantage from an operator point of view, but greater corn emergence did not result in greater yield. These and other factors should be considered when selecting closing wheels for a particular set of seeding conditions. [ABSTRACT FROM AUTHOR]

Alfalfa is a valuable and intensively produced forage crop in the United States, and the timely estimation of its yield can inform precision management decisions. However, traditional yield assessment approaches are laborious and time-consuming, and thus hinder the acquisition of timely information at the field scale. Recently, unmanned aerial vehicles (UAVs) have gained significant attention in precision agriculture due to their efficiency in data acquisition. In addition, compared with other imaging modalities, hyperspectral data can offer higher spectral fidelity for constructing narrow-band vegetation indices which are of great importance in yield modeling. In this study, we performed an in-season alfalfa yield prediction using UAV-based hyperspectral images. Specifically, we firstly extracted a large number of hyperspectral indices from the original data and performed a feature selection to reduce the data dimensionality. Then, an ensemble machine learning model was developed by combining three widely used base learners including random forest (RF), support vector regression (SVR) and K-nearest neighbors (KNN). The model performance was evaluated on experimental fields in Wisconsin. Our results showed that the ensemble model outperformed all the base learners and a coefficient of determination (R2) of 0.874 was achieved when using the selected features. In addition, we also evaluated the model adaptability on different machinery compaction treatments, and the results further demonstrate the efficacy of the proposed ensemble model. [ABSTRACT FROM AUTHOR]

• Income, education, and acreage are positively associated with internet access. • Women are 5.39 times more likely than men to have access to internet. • Security and privacy were most cited as barriers to technology adoption. A comprehensive survey was developed and mailed to 3000 Wisconsin dairy (1000), livestock (500) and crop (1500) producers in early 2018. The survey was designed to evaluate internet and other digital technology use; digital technology applications deployed on farms; internet and mobile service satisfaction; barriers to technology adoption; and, use differences across groups based on demographic factors that included farm income, farm size, age, education level and gender. After eliminating undelivered/returned mailings, the survey had a 43% response rate (n = 1021). Internet access and use levels were strongly and positively associated with gender (women), farm income, farm size (hectares and numbers of animals) and education level. Higher levels of income, education, and acreage, females and ages under 55 were associated with significantly higher levels of internet access. For both mobile and home/office computer access, cost was an area with higher dissatisfaction along with slow download speed during heavy use periods. Weather and market information were categories of information most often accessed, while farm program and educational information were the categories least accessed. The most significant barriers to adoption of digital technology on respondents' farms included data privacy and security concerns, software and system compatibility, and understanding how to use and derive value from acquired data. The survey examined areas of digital application adoption including finance and marketing tools and apps, precision planting and harvesting, sensor applications (soil, livestock, structures/environment), and robotic milking equipment and found adoption to increase with acreage, income, youth, and for females. In addition, a case study of two Wisconsin producers quantified and characterized all data generated on their farms in 2017. These producers stored 51 MB per hectare and 73 MB per milking head in 2017. These data provide insight into rural broadband needs that would allow agricultural producers to make data-driven decisions and foster innovation. [ABSTRACT FROM AUTHOR]