Computers and Electronics in Agriculture

Maize grain yield response to nitrogen dataset, which includes dry grain yield for eight nitrogen rate treatments (0-235 kg ha-1) from Stewart, MN in 2012. There are a total of 32 observations across four replications. Nitrogen fertilizer was broadcast applied as urea and incorporated prior to planting. Total nitrogen uptake (grain, cob, and stover) at physiological maturity and total available nitrogen at planting (urea, ammonium, and nitrate) from 0 - 60 cm is also included.

This data set includes three part. The first part is the original thermal images (named by "original thermal images") used for the algorithm testing, which is corresponding to the 100 testing IS2 files described in the manuscript. The second part, named by "Result images after processing", are the result images after the proposed algorithm is applied. Where, each image in the "Result images after processing" folder has two red points, which correspond to the points where the ear base temperatures are extracted . The extracted left and right ear base temperatures are listed in the Excel file named by "Ear base temperature extracted manually and by the proposed algorithm". Where, the corresponding ear base temperatures extracted manually are also listed. The error of the temperatures extracted manually and by the proposed algorithm is listed in the Excel file too.

When working with bigdata, it is common to come across imprecise, conflicting, and lack of data. Extracting useful information from inaccurate data is a challenge for IT in general. Depending on the data source, conflicting data can be presented and the usual procedures do not allow the direct treatment of such data. The prompt is that contradictory information is as vital as other information or may even be the key to indicating crucial information. Although there are methods for handling fuziness, such methods are not able to adequately address the concept of inconsistency. In this essay, we present a method that can directly deal with the concepts of imprecision, inconsistency, and paracompleteness (lack of data) in a non-trivial way. Such methodology is based on the paraconsistent annotated logic E that allows manipulating such concepts. Based on this logic was built the para-analyzer algorithm, a logic analyzer that allows analyzing the concepts mentioned. Based on the para-analyzer, a small expert system was built, which then decides imprecise, contradictory and incomplete data. The suggested method can be used in a variety of subjects, especially where there is imprecision in the data, conflicting data, and lack of data.

The estimated and measured data on fish body length is showed in the excel.

These files contains the Pests in Crops and their Treatments Ontology (PCT-O) schema and the instances extracted from the Spanish Ministy of Agriculture guides for crop treatment. The instances are represented according to the PCT-O schema.

This is the data measured by intelligent Sen recorder, which is about the data of the self stability of the instrument, the measured data and the corresponding standard values of the total station.

Experimental data & computer program.

To reflect the difference, four query methods were designed: (1) single-table query; (2) left join query; (3) right join query; and (4) inner join query. The single-table query operates on one table, and the other three methods query data from two tables. Every table contains 20 database fields. To reflect the impact of different numbers of nodes on query efficiency, we designed four database environments: a centralized database, and a blockchain storage structure with one, two, and three nodes. We recorded the execution time of a query every time the amount of data increased by 10,000 rows.

The experiment was carried out on grassland on Iowa State University campus. During the data collection, the rover was driven by the navigation control application, which tracked the preset paths and stopped the rover at the end of the paths. The rover position for the robot was recorded by the application at a sampling rate of 30Hz.

This is the unnannotated dataset of IR images of apple plants inoculated by scab used in this article. The annotated dataset will be made public further on.