Machine learning based mass prediction and discrimination of chickpea (Cicer arietinum L.) cultivars
Chickpea is an important edible legume that can be grown in rain fed conditions. Image
analysis and machine learning could be used for rapid and non-destructive determination of …
analysis and machine learning could be used for rapid and non-destructive determination of …
Prediction of Pistachio (Pistacia vera L.) Mass Based on Shape and Size Attributes by Using Machine Learning Algorithms
Size, mass, and shape attributes play a significant role in the quality assessment and post-
harvest technologies of agricultural products. Pistachio is widely consumed worldwide, and …
harvest technologies of agricultural products. Pistachio is widely consumed worldwide, and …
Physicochemical Characterization and Mass Modeling of Blood Fruit (Haematocarpus Validus) – An Underutilized Fruit of Northeastern India
Blood fruit is an underutilized and highly nutritious fruit available in the Northeastern part of
India. Proper design and development of sorting and grading systems help in improving the …
India. Proper design and development of sorting and grading systems help in improving the …
Grading detection of “Red Fuji” apple in Luochuan based on machine vision and near-infrared spectroscopy
J Wang, Y Huo, Y Wang, H Zhao, K Li, L Liu, Y Shi - Plos one, 2022 - journals.plos.org
A quality detection system for the “Red Fuji” apple in Luochuan was designed for automatic
grading. According to the Chinese national standard, the grading principles of apple …
grading. According to the Chinese national standard, the grading principles of apple …
Hydroisomerisation and Hydrocracking of n-Heptane: Modelling and Optimisation Using a Hybrid Artificial Neural Network–Genetic Algorithm (ANN–GA)
In this paper, the focus is on upgrading the value of naphtha compounds represented by n-
heptane (n-C7H16) with zero octane number using a commercial zeolite catalyst consisting …
heptane (n-C7H16) with zero octane number using a commercial zeolite catalyst consisting …
基于图像处理的番茄重量预测.
何婷婷， 李志伟， 张馨， 肖雪， 董静 - Food & Machinery, 2022 - search.ebscohost.com
目的: 建立一种基于图像处理的番茄重量检测方法以实现无接触式番茄重量检测. 方法:
通过图像处理得到番茄二值图像, 使用像素统计法和最小外接矩形法提取番茄的几何特征与果重 …
通过图像处理得到番茄二值图像, 使用像素统计法和最小外接矩形法提取番茄的几何特征与果重 …
Mass detection of walnut based on X‐ray imaging technology
T Gao, S Zhang, H Sun, R Ren - Journal of Food Process …, 2022 - Wiley Online Library
In view of the problem of low accuracy in walnut mass detection caused by relatively
inconstant density, this study suggested the integration of X‐ray imaging technology and …
inconstant density, this study suggested the integration of X‐ray imaging technology and …
Physical Characterization and Mass Modeling of Kendu (Diospyros melanoxylon Roxb.) Fruit
ABSTRACT Kendu (Diospyros melanoxylon Roxb.) is an underutilized nutritious fruit found
in most of the Asian countries. The proper design and development of a grading system …
in most of the Asian countries. The proper design and development of a grading system …
Prediction of mass and discrimination of common bean by machine learning approaches
Beans usually have similar physical attributes; thus, it is difficult to distinguish them
manually. Size, shape, and mass attributes of seeds help in breeding, selection …
manually. Size, shape, and mass attributes of seeds help in breeding, selection …
[HTML][HTML] Analysis of physicochemical and phytonutrients properties of bastard oleaster fruits and its mass prediction using artificial neural network model
Bastard oleaster (Elaeagnus latifolia) is highly nutritious, rich in various vitamins (A, C, E)
and minerals (P, K, Ca, Mg, Na), yet remains underutilized despite its immense potential …
and minerals (P, K, Ca, Mg, Na), yet remains underutilized despite its immense potential …