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Bolappa Gamage Kaushalya Madhavi, Anil Bhujel, Na Eun Kim and Hyeon Tae Kim
Non-destructive and destructive leaf area estimation are critical in plant physiological and ecological experiments. In modern agriculture, ubiquitous digital cameras and scanners are primarily replacing traditional leaf area measurements. Thus, measurin...
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Naveen Kumar Mahanti, Subir Kumar Chakraborty, V. Bhushana Babu
Pág. Page:146 - 153Abstrac
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Silvana Irene Torri, Carla Descalzi, Enrique Frusso
Pág. 53 - 58
Nondestructive and mathematical approaches of modeling can be very convenient and useful for plant growth estimation. The objective of this research was to develop a simple, accurate and nondestructive predictive model...
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Nokukhanya Mthembu, Romano Lottering and Heyns Kotze
Leaf area index (LAI) is an important parameter in plant ecophysiology; it can be used to quantify foliage directly and as a measure of the photosynthetic active area and, thus, the area subject to transpiration in vegetation. The aim of this paper was t...
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Madhurima Das, Chandan Kumar Deb, Ram Pal and Sudeep Marwaha
In this study, leaf area prediction models of Dendrobium nobile, were developed through machine learning (ML) techniques including multiple linear regression (MLR), support vector regression (SVR), gradient boosting regression (GBR), and artificial neura...
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Dan Li, Xingfa Gu, Yong Pang, Bowei Chen and Luxia Liu
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A. Molina,A. D. del-Campo
Pág. 108 - 121
LAI is a key factor in light and rainfall interception processes in forest stands and, for this reason, is called to play an important role in global change adaptive silviculture. Therefore, it is necessary to develop practical and operative methodologie...
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Liang Zhong, Xueyuan Chu, Jiawei Qian, Jianlong Li and Zhengguo Sun
With the rapid development of China?s industrialization and urbanization, the problem of heavy metal pollution in soil has become increasingly prominent, seriously threatening the safety of the ecosystem and human health. The development of hyperspectral...
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Hossein Ghoveisi, Davie Mayeso Kadyampakeni, Jawwad Qureshi and Lauren Diepenbrock
A precise estimation of plant water use is crucial for efficient irrigation management and understanding of plant?water interactions. Metalized-polyethylene mulch as a ground cover, combined with irrigation management, can improve water and fertilizer us...
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Cláudia Adriana Bueno da Fonseca, Nadhir Al-Ansari, Richarde Marques da Silva, Celso Augusto Guimarães Santos, Bilel Zerouali, Daniel Bezerra de Oliveira and Ahmed Elbeltagi
Climate variability, land use and land cover changes (LULCC) have a considerable impact on runoff?erosion processes. This study analyzed the relationships between climate variability and spatiotemporal LULCC on runoff?erosion processes in different scena...
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Hongyu Wang, Yiren Ding, Qiushuang Yao, Lulu Ma, Yiru Ma, Mi Yang, Shizhe Qin, Feng Xu, Ze Zhang and Zhe Gao
Cotton yield estimation is of great practical significance to producers, allowing them to make rational management decisions. At present, crop yield estimation methods mainly comprise traditional agricultural yield estimation methods, which have many sho...
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Jiangtao Ji, Xiaofei Wang, Hao Ma, Fengxun Zheng, Yi Shi, Hongwei Cui and Shaoshuai Zhao
Chlorophyll a and b content (Cab) and leaf area index (LAI) are two key parameters of crops, and their quantitative inversions are important for growth monitoring and the field management of wheat. However, due to the close correlation between the spectr...
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Lili Zhou, Chenwei Nie, Tao Su, Xiaobin Xu, Yang Song, Dameng Yin, Shuaibing Liu, Yadong Liu, Yi Bai, Xiao Jia and Xiuliang Jin
Maize is one of the main grain reserve crops, which directly affects the food security of the country. It is extremely important to evaluate the growth status of maize in a timely and accurate manner. Canopy Chlorophyll Density (CCD) is closely related t...
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Jiying Kong, Zhenhai Luo, Chao Zhang, Min Tang, Rui Liu, Ziang Xie and Shaoyuan Feng
The fraction of absorbed photosynthetically active radiation (FPAR), which represents the capability of vegetation-absorbed solar radiation to accumulate organic matter, is a crucial indicator of photosynthesis and vegetation growth status. Although a si...
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Rutuja Rajendra Patil, Sumit Kumar, Shwetambari Chiwhane, Ruchi Rani and Sanjeev Kumar Pippal
The pathogens such as fungi and bacteria can lead to rice diseases that can drastically impair crop production. Because the illness is difficult to control on a broad scale, crop field monitoring is one of the most effective methods of control. It allows...
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Suyoung Park, Dongryeol Ryu, Sigfredo Fuentes, Hoam Chung, Mark O?Connell and Junchul Kim
There is a growing concern about water scarcity and the associated decline in Australia?s agricultural production. Efficient water use as a natural resource requires more precise and adequate monitoring of crop water use and irrigation scheduling. Theref...
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Jiyou Zhu, Weijun He, Jiangming Yao, Qiang Yu, Chengyang Xu, Huaguo Huang and Catherine Mhae B. Jandug
Quercus aquifolioides is one of the most representative broad-leaved plants in Qinghai-Tibet Plateau with important ecological status. So far, understanding how to quickly estimate the chlorophyll content of plants in plateau areas is still an urgent pro...
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Changqing Meng, Jianzhong Zhou, Deyu Zhong, Chao Wang and Jun Guo
A modified form of the distributed Grid-Xinanjiang model (GXAJ) characterizing the infiltration excess and saturation excess runoff mechanisms coupled to a two-source potential evapotranspiration model (TSPE) was proposed to simulate the hydrological pro...
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Rocco Pace, Peter Biber, Hans Pretzsch and Rüdiger Grote
Ecosystem modeling can help decision making regarding planting of urban trees for climate change mitigation and air pollution reduction. Algorithms and models that link the properties of plant functional types, species groups, or single species to their ...
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Muhammad Zulkarnain Abd Rahman, Md Afif Abu Bakar, Khamarrul Azahari Razak, Abd Wahid Rasib, Kasturi Devi Kanniah, Wan Hazli Wan Kadir, Hamdan Omar, Azahari Faidi, Abd Rahman Kassim and Zulkiflee Abd Latif
Recent methods for detailed and accurate biomass and carbon stock estimation of forests have been driven by advances in remote sensing technology. The conventional approach to biomass estimation heavily relies on the tree species and site-specific allome...
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