Showing papers in "Information Processing in Agriculture in 2018"

TL;DR: This paper provides a review on NN mechanism, types, models, and classifiers that use different algorithms to process hyperspectral data, and introduces NN techniques for rapid development of SDI.

TL;DR: In this article, the authors explored the contribution of information and communication technologies (ICTs) to transition towards sustainability along the food chain (production, processing, distribution, consumption) in precision agriculture.

TL;DR: In this article, an adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) were used for predicting the drying characteristics of potato, garlic and cantaloupe at convective hot air dryer.

TL;DR: The results of simulations performed using the proposed robust MPC strategy for greenhouse temperature systems show that the controller can effectively achieve the set point in the presence of disturbances and that it offers more suitable control variables, higher control precision, and stronger robustness than the conventional MPC.

TL;DR: In this article, a 3D machine vision system consisting of a color CCD camera and a time-of-flight (TOF) light-based 3D camera for estimating apple size in tree canopies was developed.

TL;DR: In this article, the effects of combined infrared-vacuum drying on the drying kinetics, moisture diffusivity, surface changes (shrinking) and color changes kinetics of lemon slices were investigated.

TL;DR: In this paper, a hybrid multi-layer perceptron algorithm integrated with the firefly optimizer algorithm (MLP-FFA) is proposed to forecast the soil temperature at multiple depths.

TL;DR: The performance of best model (RBF) to estimate the energyLost and exchange in the greenhouse with heat transfer models showed that this method can estimate the real data in greenhouse and then predict the energy lost and exchange with high accuracy.

TL;DR: The experimental results show that the crop row detection method based on Census transform can identify the crop line and plan the navigation path well, and the tractor path tracking control system based on binocular vision has good stability and high control precision; thus, the control system can realize the automatic pathtracking control of cotton line operation and meets the agricultural requirements of cotton field operation management.

TL;DR: In this paper, the effects of selenium (Se) application (0, 4, 8, 16, 16 and 16µmg L−1) on phenylalanine ammonia-lyase (PAL) activity, phenol leakage and total phenolic content of garlic under salt stress ( 0, 30, 60 and 90‵mM NaCl).

TL;DR: In this article, a semi-solar greenhouse was designed and constructed at the North-West of Iran in Azerbaijan Province (38°10′N and 46°18′E with elevation of 1364 m above the sea level).

TL;DR: In this paper, a neurocomputing based simulation strategy (adaptive neuro-fuzzy inference system (ANFIS)) was used to simulate the tractor fuel efficiency parameters (TFEPs) (fuel consumption per working hour (FCWH), fuel consumption per tilled area (FCTA), and specific volumetric fuel consumption (SVFC)) were intelligently simulated.

TL;DR: In this article, the thermal efficiency of a flat plate air collector with and without fins was investigated, and it was shown that applying fins in air channel not only reduces Nusselt number from 1967 to 1623, but also due to decreasing hydraulic diameter and creating air flow turbulence, causes increase of heat transfer coefficient from absorber plate to air flow and consequently reduction of total heat loss and higher outlet air temperatures.

TL;DR: The development of wireless sensor networks (WSNs) and remote sensing technology were reviewed, especially the micro unmanned aerial vehicle (mUAV)-based WSNs and mUAV-based RS by analyzing its applications in field information collection, and its existing benefits and limitations were pointed out.

TL;DR: In this article, a quality-control model based on principal-agent theory is proposed for the agricultural supply chain, which considers the reputational loss due to inferior products and external responsibility identification.

TL;DR: A Deep Convolutional Neural Network (DCNN) for down image classification is constructed, and a new weight initialization method is proposed, which increases the recognition accuracy by 2.7% compared to TCNN, when recognizing the down in the images.

TL;DR: All extracts exhibited a significant antitermiticidal activity in time- and concentration-dependent manners after 14 days of exposure, and high repellent activity was also noted in the choice bioassay when both termites were treated with all methanolic extracts at 10,000 ppm.

TL;DR: Results shows that the WEB browser application and Android App can adaptively realize the greenhouse environment monitoring and control according to the information configuration.

TL;DR: Wang et al. as discussed by the authors analyzed the influencing factors of Chinese vegetable production by utilizing the LMDI method and demonstrated the spatial-temporal characteristics of vegetable production through application of the ArcGIS spatial autocorrelation analysis method.

TL;DR: In this paper, a review of the current state of the art of pollination, harvesting and grading equipment, including detection and identification, non-destructive end effector, harvesting robots and grading devices, is presented.

TL;DR: A close characterization of dimension, shape, and tegument delayed chlorophyll fluorescence in seeds obtained from three species of the genus Annona showed that studied seeds may be sorted as scalene ellipsoids expressing low values for the seed sphericity.

TL;DR: The experimental results show that the extreme learning machine and kernel support vector machines have the excellent performance for foreign fiber detection and the classification accuracy are respectively 93.61% and 93.17% using the selected corresponding feature set with 42 and 52 features.

TL;DR: The test showed that the BP Neural Network and Fuzzy Inference model built in this paper had a good performance in predicting the raw milk storage temperature and reflecting the variation of raw milk temperature in raw Milk storage process.

TL;DR: An adaptive image enhancement method based on guided filtering that automatically calculates the enhancement weights of the detail in an image according to the distribution characteristics of the illumination intensity of a crop image, so as to adaptively adjust the contrast of the image.

TL;DR: In this paper, a study was conducted in order to evaluate date (Phoenix doctylifera) production in viewpoint of environmental indicators using life cycle assessment method using questionnaire and interview with farmers and experts in Khuzestan Province, Iran.

TL;DR: In this article, a culture medium containing Saccharomyces cerevisiae was monitored during 30 min of exposure to different materials for the calculation of the 10% (IC10), 30%(IC30), and 50% inhibitory concentrations.

TL;DR: The results shows that the system achieves the business requirements with an intelligent tool for data management and technical efficiency evaluation for vegetable production to improve automation, efficiency and convenience.

TL;DR: A comparative analysis of two mainstream brands of laser sensor scanners for canopy detection shows that the LMS151-10100 laser sensor is more accurate and more suitable for detection in the case of fast detection speed but both sensors have the capability to measure the targets accurately and can be applied for the detection of trees in the area of variable-rate precision spraying.

TL;DR: This research proposes keypoint extraction and line detection methods to extract shape and axil features of leaflet positions and demonstrates the proper key point extraction method for shape context and the clear advantages of Hough Transformation in accuracy of angle detection.