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Computers and Electronics in Agriculture, Volume 132
Volume 132, January 2017
- Marzieh Mokarram
, Majid Hojati
Using ordered weight averaging (OWA) aggregation for multi-criteria soil fertility evaluation by GIS (case study: southeast Iran). 1-13 - Monique Pires Gravina de Oliveira, Felipe Ferreira Bocca, Luiz Henrique A. Rodrigues
From spreadsheets to sugar content modeling: A data mining approach. 14-20 - Elfatih M. Abdel-Rahman, Onisimo Mutanga
Estimating Swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares (PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms. 21-33 - Hamidreza Hoshyarmanesh, Hamid Rezvani Dastgerdi, Mojtaba Ghodsi
Numerical and experimental vibration analysis of olive tree for optimal mechanized harvesting efficiency and productivity. 34-48 - S. J. Lim, M. N. Shin, J. K. Son, J. D. Song, K. H. Cho, S. H. Lee, Ji-Hyoung Ryu, Jae Young Cho:
Evaluation of soil pore-water salinity using a Decagon GS3 sensor in saline-alkali reclaimed tidal lands. 49-55
- Asher Wishkerman
Application note: A novel low-cost open-source LED system for microalgae cultivation. 56-62
- Mohammadmehdi Maharlooei
Detection of soybean aphids in a greenhouse using an image processing technique. 63-70 - Edward Thomas:
An artificial neural network for real-time hardwood lumber grading. 71-75
- Jingyi Huang
Temperature-dependent hysteresis effects on EM induction instruments: An example of single-frequency multi-coil array instruments. 76-85
- Vassilis Z. Antonopoulos, Athanasios V. Antonopoulos:
Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables. 86-96 - Berthold Traub, Rolf Meile, Simon Speich, Erik Rösler:
The data storage and analysis system of the Swiss National Forest Inventory. 97-107 - C. J. Rutten, Claudia Kamphuis, Henk Hogeveen
Sensor data on cow activity, rumination, and ear temperature improve prediction of the start of calving in dairy cows. 108-118
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