Remote sensing monitoring of rice diseases and pests from different data sources: A review
Rice is an important food crop in China, and diseases and pests are the main factors
threatening its safety, ecology, and efficient production. The development of remote sensing …
threatening its safety, ecology, and efficient production. The development of remote sensing …
Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages
Abstract Normalized Difference Vegetation Index and Ratio Vegetation Index obtained with
the fixed band GreenSeeker active multispectral canopy sensor (GS-NDVI and GS-RVI) …
the fixed band GreenSeeker active multispectral canopy sensor (GS-NDVI and GS-RVI) …
Toward multi-stage phenotyping of soybean with multimodal UAV sensor data: a comparison of machine learning approaches for leaf area index estimation
Y Zhang, Y Yang, Q Zhang, R Duan, J Liu, Y Qin… - Remote Sensing, 2022 - mdpi.com
Leaf Area Index (LAI) is an important parameter which can be used for crop growth
monitoring and yield estimation. Many studies have been carried out to estimate LAI with …
monitoring and yield estimation. Many studies have been carried out to estimate LAI with …
Unmanned Aerial Vehicle (UAV)-based remote sensing for early-stage detection of Ganoderma
P Ahmadi, S Mansor, B Farjad, E Ghaderpour - Remote Sensing, 2022 - mdpi.com
Early detection of Basal Stem Rot (BSR) disease in oil palms is an important plantation
management activity in Southeast Asia. Practical approaches for the best strategic approach …
management activity in Southeast Asia. Practical approaches for the best strategic approach …
Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms
Basal stem rot (BSR) is a fatal fungal (Ganoderma) disease of oil palm plantations and has a
significant impact on the production of palm oil in Malaysia. Because there is no effective …
significant impact on the production of palm oil in Malaysia. Because there is no effective …
Modeling the seed yield of Ajowan (Trachyspermum ammi L.) using artificial neural network and multiple linear regression models
Ajowan is a medicinal plant with useful pharmaceutical compounds in its seeds. Seed yield
improvement in ajowan through a better understanding of the relationship between seed …
improvement in ajowan through a better understanding of the relationship between seed …
Image processing and artificial neural network-based models to measure and predict physical properties of embryogenic callus and number of somatic embryos in …
Abstract Trachyspermum ammi (L.) Sprague (Ajowan) is an endangered medicinal plant
with useful pharmaceutical properties. Ex situ conservation of this medicinal plant needs the …
with useful pharmaceutical properties. Ex situ conservation of this medicinal plant needs the …
Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo L.)
The estimation of the relation between the inconstant factors can be highly helpful for
calculating the amount of variation of a particular character with respect to others. This paper …
calculating the amount of variation of a particular character with respect to others. This paper …
[PDF][PDF] 基于高光谱技术的农作物常见病害监测研究
谢亚平， 陈丰农， 张竞成， 周斌， 王海江， 吴开华 - 光谱学与光谱 …, 2018 - researching.cn
摘要农作物病害是制约产量的重要因素之一" 目前农作物病害的早期监测主要依靠植保人员田间
取样判断危害等级的传统方式" 存在主观性强! 效率低! 滞后性等弊端" 也有些病害采用提前施药 …
取样判断危害等级的传统方式" 存在主观性强! 效率低! 滞后性等弊端" 也有些病害采用提前施药 …
Artificial neural network and multiple regression analysis models to predict essential oil content of ajowan (Carum copticum L.)
Ajowan is an important medicinal plant that grows in arid and semi-arid regions of central
Europe, India, Egypt, Iran, Iraq, Afghanistan, and Pakistan. Essential oil is the most …
Europe, India, Egypt, Iran, Iraq, Afghanistan, and Pakistan. Essential oil is the most …