Search results for “Precision Agriculture

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2 articles
Agronomy Research Open Access

Rice Yield Advances Under Precision Agriculture: a Farm Lesson

Mar 2019 DOI 10.14302/issn.2639-3166.jar-19-2691

In precision agriculture (PA) fertilizing, based on soil testing, production maps and crop nitrogen (N) demand, is the key to maximizing yields and tempering fertilizer costs. A trend study has considered the output / input relationships performed on a farm that has progressively adapted to PA procedures over two decades. The evolutions of the variability parameters of yield, comprising the repeatability coefficient of repeated plots, the vegetative vigour (NDRE) at the panicle initiation (pi) stage, and the nitrogen utilization efficiency (NUE) were monitored and compared by means of mixed linear models over a six-year period, after the variable nitrogen (N) fertilization rate (VNFR) had been enlarged to the whole 230 ha of one farm. At pi key fertilization stage, a corrective dose was applied by tacking the correlation between Npi and the measured NDRE in strong negative mode. The evolution of the yield, for the 2012-2017 interval, based on 1165 ha-1 parcel-data, showed a significant yearly increase of 2.3% more than the regional trend (+0.5%). The variability parameters of the yield, that is, the standard deviation (+7.3%), range (+7.1%), coefficient of variation (+5.4%) and maximum (+2.1%) were enhanced over the years, but the minimum remained stable. The repeatability of the parcel yield generally appeared low (r = +0.31), but it tended to increase by 8.3% year-1 (P = 0.018). At the same time, the vegetational vigour also showed significant increases of the NDRE means (+3.0%) as well as of the maximum (+0.8%), but also large oscillations in the standard deviation and in the coefficient of variation. No significant regression of the NDRE on the coefficient of variation of the yield was established. The favorable increase in yield was found to be independent of the distributed N-total. A strong negative correlation (imposed) between N-pi and NDRE (-0.90) and a negative correlation with production were observed for a sample field (but in the area of maximum production). It is recommended that a partial correlation between Yield and N-tot should be considered in the I /O features for a parity of NDRE, which apparently decreases the negativity of the relationship. In short: with the same total input of N, the PA increased the yield, but also its variability – and it did not reduce the variability as predicted by the theory - by strengthening the repeatability. This is an evidence that in many of the parcels with minimum yield the limiting factors cannot  be referred to the N availability.

Agronomy Research Open Access

Towards Implementing the Integrated Technology of Precision Agriculture in Sudan

Oct 2018 DOI 10.14302/issn.2639-3166.jar-18-2331

This study reviews the agricultural development perspective in the light of a rapid space technology development. In other words, precision agriculture as part of geoinformatics. The aim is to quantify whether the adopted technology can improve the efficiency of agricultural fields management and production to attain food security. Therefore, views of targeted groups from different States of Sudan were investigated, using stratified sampling method. Where quantitative statistics (descriptive/inductive techniques) was applied. About 800 questionnaires were distributed. The outcomes of data analysis reflected that the majority of interviewed groups 357 (82.1%) do not know the principles and application of integrated technology in the field of agricultural management. 85.3% of respondents know nothing about computer program related to precision agriculture. The majority of the respondents (84.6 %), did not get courses on precision agriculture during the under graduate study. The result also revealed that only 11.8% of the respondents use modern techniques in land preparation, 16.1 % in soil analysis, 12.5 % in the field of seed technology, and 11.4% in crop harvesting. However, 53.9% of the respondents reported that their Departments did not care about training on agricultural precision. Nevertheless, 24.3 % of the respondents got trained on precision agriculture through personal efforts, while about 19% got trained by their respective Departments. In regard to education, 16% of the respondents got trained on precision agriculture at undergraduate and only 9% after graduation. The study concludes that despite the rapid technological development, agriculture in Sudan remained lagging, and the productivity is below the expectation. It recommends that the Ministries of Agriculture in different States in Sudan should take the issue of introduction of new technology seriously to boost the agricultural development to attain food security.

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