| [21] | Assessment of bruising | 633 | Time history speckle pattern, inertia moment, weighted generalized difference, laser speckle contrast analysis method, Fujii | Apple |
| [22] | Differentiation of bruised and fresh regions | 632.8 | Inertia moment, absolute value difference, generalized difference, parameterized Fujii,biospeckle activity value, granulometric size distribution, grey-level co-occurrence matrix, parameterized generalized difference, alternative generalized difference, parameterized global average Fujii | Apple |
| [23] | Quality evaluation and damage identification | 632.8 | Time history speckle pattern, inertia moment, cross-correlation coefficient C, generalized difference | Apple |
| [24] | Evaluation of damages | 633 | Time history of speckle pattern, cross correlation | Apple |
| [25] | Detection of bruises | 633 | Time history of speckle pattern, autocorrelation function, weightedgeneralized difference | Apple |
| [26] | Identificationof early bruising | 632.8 | Fujii, generalized difference, laser speckle contrast analysis | Apple |
| [32] | Identification of mealy apples | 680,780 | Time history speckle pattern, autocorrelation function, inertia moment, absolute value of differences | Apple |
| [33] | Identification of mealy apples | 680,780 | Time history of speckle pattern, artificial neural networks | Apple |
| [4] | Development of bull’s eye rot and quality changes | 632.8 | Correlation coefficient Ckτ | Apple |
| [34] | Pre-harvest monitoring | 635 | Correlation coefficient Ckτ | Apple |
| [35] | Early detection of fungal infection | 473, 532,830 | Fujii,correlation coefficient Ckτ, inertia moment, method based on frequency analysis | Apple |
| [36] | Monitor soluble solid content, moisture content, hardness | 635 | Gray value, RGB(red, green, blue) pixel value | Apple |
| [3] | Quality evaluation | 632 | Correlation coefficient Ckτ | Apple |
| [2] | Chlorophyll content | 670 | Correlation coefficient Ckτ | Apple |
| [5] | Temperature effect on biospeckle activity | 632.8 | Correlation coefficient Ckτ, speckle contrast, inertia moment | Apple |
| [37] | Effect of cytochalasin B, lantrunculin B, colchicine, cycloheximid, dimethyl Sulfoxide and ion channel inhibitors | 635 | Correlation coefficient, laser speckle contrast analysis | Apple |
| [38] | Four optical methods to measure hydrostatic pressures | 635, 690,830, 1060 | Correlation coefficient Ckτ | Apple |
| [39] | Comparison of new methods and traditional methods to identify fungal infections | 532 | Fujii, motion history images, exponentially smoothed Fujii | Apple |
| [40] | Measurement of biospeckle activities during storage in 7 days | 632.8 | Spatial-temporal speckle correlation, inertia moment | Apple |
| [41] | Biospeckle activity measurement during shelf-life storage | 632.8 | Correlation coefficient Ckτ | Apple |
| [42] | Biospeckle activity measurement during storage | 632.8 | Correlation coefficient Ckτ | Apple |
| [43] | Biospeckle activity measurement | 632.8 | Time history of speckle pattern, inertia moment, absolute value of differences | Apple |
| [44] | Biospeckle activity measurement during shelf-life storage | 632.8 | Time history of speckle pattern, inertia moment, absolute value of differences | Apple |
| [45] | Biospeckle activity measurement during shelf-life storage | 632.8 | Generalized difference, Fujii, alternative Fujii | Apple |
| [46] | Effect of edible filmson apple quality | 632 | Inertia moment | Apple |
| [47] | Different feature extraction of evaluation of firmness | 680, 780 | Time history of speckle pattern, inertia moment, absolute value of differences, wavelet, artificial neural networks | Apple |
| [48] | Climacteric peak | 632.8 | Correlation coefficient C | Apple |
| [40] | Measurement of daily biospeckle activities during storage | 632.8 | Spatial-temporal speckle correlation, inertia moment | Pear |
| [41] | Biospeckle activity measurement during shelf-life storage | 632.8 | Correlation coefficient Ckτ | Pear |
| [42] | Biospeckle activity measurement during storage | 632.8 | Correlation coefficient Ckτ | Pear |
| [43] | Biospeckle activity measurement | 632.8 | Time history of speckle pattern, inertia moment, absolute value of differences | Pear |
| [44] | Biospeckle activity measurement during shelf-life storage | 632.8 | Time history of speckle pattern, inertia moment, absolute value of differences | Pear |
| [45] | Biospeckle activity measurement during shelf-life storage | 632.8 | Generalized difference, Fujii, alternative Fujii | Pear |
| [27] | Detection of stem/calyx and defect | 635 | Fujii, weighted generalized difference | Pear |
| [49] | Ripening detection | 632.8 | Auto-covariance function | Pear |
| [50] | Maturation detection | 632.8 | Auto-covariance function | Pear |
| [25] | Detection of bruises | 633 | Time history of speckle pattern, autocorrelation function, weighted generalized difference | Pear |
| [28] | Identification of scar region | 632.8 | Fujii, temporal difference,laser speckle contrast analysis, generalized difference, motion history image | Orange |
| [51] | Measurement of peel thickness | 633 | Size of laser beam | Orange |
| [23] | Quality evaluation and damage identification | 632.8 | Time history speckle pattern, inertia moment, cross-correlation coefficient C, generalized difference | Orange |
| [40] | Measurement of biospeckle activities during storage | 632.8 | Spatial-temporal speckle correlation, inertia moment | Tomato |
| [42] | Biospeckle activity measurement during storage | 632.8 | Correlation coefficient Ckτ | Tomato |
| [43] | Biospeckle activity measurement | 632.8 | Time history of speckle pattern, inertia moment, absolute value of differences | Tomato |
| [44] | Biospeckle activity measurement during shelf-life storage | 632.8 | Time history of speckle pattern, inertia moment, absolute value of differences | Tomato |
| [20] | Detection of bruised areas and fungal development | 650 | Generalized difference,Fujii, speckle noise | Strawberry |
| [52] | Maturation detection | 632.8 | Time history of speckle pattern, correlation coefficient function | Strawberry |
| [29] | Maturation detection | Unknown | Mobility index | Strawberry |
| [15] | Maturation detection | 632 | Time history of speckle pattern, inertia moment, two-dimensional cross correlation function | Mango |
| [23] | Quality evaluation anddamage identification | 632.8 | Time history speckle pattern, inertiamoment, cross-correlation coefficient C, generalized difference | Mango |
| [53] | Chlorophyll index, elasticity, soluble solid contents | 532, 660,830 | Artificial neural network, support vector machine | Banana |
| [30] | Detection of chilling injury symptoms | 785 | RGB values | Banana |
| [31] | Chilling injury | 660, 785 | RGB values | Banana |
| [55] | Changes in backscattering imaging before and after harvest | 532, 785 | Gaussian-Lorentzian cross product function | Plum |
| [54] | Quality | 785 | Lorentzian distribution function | Plum |
| [56] | Identification of seeded and seedless watermelon | 658 | Linear discriminant analysis, quadratic discriminant analysis,k-nearest neighbour | Watermelon |
| [57] | Monitoring of quality changes during drying | 532, 650,780 | Extract illuminated area and light intensity profile | Papaya |
| [58] | Water content and sugar content | 632 | Time history of speckle pattern, inertia moment | Sugar cane |
| [59] | Assessment of biospeckle activity | Unknown | Time history of speckle pattern, inertia moment, correlation coefficient Ckτ | Lemon |
| [60] | Laser light propagation | 785 | Monte Carlo simulation | Kiwi fruit |
| [61] | Adsorption behavior | 632 | Variable moment of inertia | Passion fruit |
| [41] | Measurement of biospeckle during shelf-life storage | 632.8 | Correlation coefficient Ckτ | Guava |
| [62] | Firmness | Unknown | Partial least squares regression, least squaressupport vector machines | Peach |
