实验室、温室和小块地块中的农业试验不断发展，采用更精确的方法来衡量和评估新技术。同样的技术有可能使大型农场试验不仅为种植者、供应商和顾问，而且为研究人员提供更多信息。
使用新产品进行田间试验的目的是生成条件信息，以模拟未来在各种天气和田间条件下的农场使用。到目前为止，实验误差的控制依赖于多个季节在多个地点进行的重复小地块试验。更多的地点、季节和重复可以转化为对应用处理效果的更好理解，从而更好地预测该技术的真正价值。
在 Giuditta Parolini 发表的文章中， 绘制农业实验的历史, he says, “Even though the questions underpinning agricultural experiments remain largely the same, the instruments and practices for answering them have changed constantly during the twentieth century with the advent of new disciplines like molecular biology, genomics, statistics, and computing.”
现在在精准农业时代，随着技术提供更多的实时和空间测量工具，农业田间试验将继续发展。传感器、图像和采样方法将提高允许的测量质量和数量，从而提高评估的准确性和可预测性。
创新的分析将收集到的所有信息汇集在一起，以确定新技术何时以及如何提供最佳结果。此外，分析改善了种植者的体验，不仅涉及新产品，还涉及他们自己的农场。将大规模的农场试验提升到一个新的分析水平是为什么 农业联合会 推出 试用版 ——将数据转化为价值。
“TrialWerx allows us to measure additional layers of information, like weather and soil, as well as the field history,” said Gloverson Moro, AgriThority Chief Technology Officer. “It may now be overlaid with the field trial data, allowing additional correlations to be drawn and providing new opportunities for insights. Finally, all that wealth of data can be brought together through new analytical methods, powered by computational biology, building knowledge and innovative insights.”
Kevin and Jeff O’Bannon, Monroe County, Missouri, farmers have seen the results of TrialWerx on their farm. They say, “We’ve never learned as much from our on-farm trials as we did with AgriThority and their TrialWerx.”
农民和经销商经验的大规模农场试验是成功的技术转让和产品发布的重要组成部分。在农场条件下对新技术的密切评估提供了机会来检测在以前的产品开发阶段未观察到的意外操作问题，并降低商业发布期间的风险。
“The most important thing about large-scale trials is farmers, agronomists and distributors gain hands-on experience,” said Luke Samuel, Ph.D. AgriThority Global Director, Technology Transfer. “This engagement of the “supply-chain” is a key component for successful technology transfer and commercial success. Growers listen to other growers, but their advisors or dealers also are persuasive in the decision-making process.”
AgriThority 专家一致认为，大多数农场试验都是作为示范田进行的，他们没有提供完整的故事和全部价值。在没有真正的实验设计和管理的情况下，这些大规模试验提供了一些经验，但通常无法深入了解新产品在何处以及如何发挥最佳性能。塞缪尔说，新技术最佳管理实践的开发对于种植者的长期成功使用和全面采用至关重要。
“Collecting a single average yield of a large plot does not produce new insights and often does not generate meaningful benefits for the growers,” says Ignacio Colonna, AgriThority Global Director, Science and Technology. “Technology provides an opportunity to transform large-scale, on-farm trials into a source of valuable information and take the grower experience to a new level. Layers of digital information currently available allow the best placement and management of large scale on-farm trials. Precision agriculture technology tools allow the generation of temporal and spatial data series.”
技术的发展将继续改变农业试验。更精确地收集信息和分析大量数据的能力将增强检测新相关性的能力，并产生更深入的见解。计算生物学的蓬勃发展也表明建模在使农业试验过程更加强大和可预测方面的相关性越来越大。
“Regardless of how much experimentation has evolved, the development discipline is a key requirement to building a successful product,” Moro said. “The most innovative concept will not translate into a great product unless a rigorous development path is followed. This is as much about process as it is about science. Having clarity on the path toward the target market, the technical development and the regulatory process is critical. Then translating that into a series of questions that must be answered and the order they must be addressed is essential. The urge to jump over critical steps frequently results in failure. Going faster does not mean going further.”