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Yaoyu Jia, Beifang Yang, Yingchun Han, Guoping Wang, Tianle Su, Xiaofei Li, Yaping Lei, Xiaoyu Zhi, Shiwu Xiong, Minghua Xin, Yabing Li and Lu Feng
Optimizing irrigation strategies is crucial for sustaining cotton production in the face of growing water scarcity. The three-year experimental study (2020?2022) focused on the impact of varying irrigation amounts (320, 370, and 420 mm) and frequencies (...
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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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Wenjun Li, Bingrong Wu, Bao Hu, Yanan Wan, Jichuan Wang and Mengmeng Jia
In recent years, severe hailstorms have caused damage to cotton leaves and stalks. In order to identify the effects of cotton leaf damage on its dry matter accumulation, protective enzyme activity and yield in different periods, in this experiment, diffe...
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Yang Zhao, Yaning Chen, Shunjun Hu, Yanjun Shen, Fan Liu and Yucui Zhang
This research, conducted at the National Field Science Observation and Research Station of the Aksu Farmland Ecosystem in Xinjiang, was performed to partition evapotranspiration components, identify the main water absorption depth, and quantify the contr...
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Taylor Joyal, Alexander K. Fremier and Jan Boll
In the humid tropics, forest conversion and climate change threaten the hydrological function and stationarity of watersheds, particularly in steep terrain. As climate change intensifies, shifting precipitation patterns and expanding agricultural and pas...
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Yanxue Liu and Changlu Qiao
Measuring evapotranspiration (ET) components in cotton fields under mulched drip irrigation is needed to improve water use efficiency and promote the development of water-saving agriculture. In this study, an Eddy Covariance (EC) system was used to obser...
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Karla Yohana Sánchez-Mojica, Luis Asunción Pérez-Domínguez, Julián Gutiérrez Londoño and Darwin Orlando Cardozo Sarmiento
The Internet of Things (IoT) is becoming increasingly important due to the ability to collect data in real time and monitor the performance of systems. In this sense, the objective of the project is to create an IoT system to monitor and enhance red boll...
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Siyao Yu, Haoran Bu, Xue Hu, Wancheng Dong and Lixin Zhang
In order to explore the feasibility of rapid non-destructive detection of cotton leaf chlorophyll content during the growth stage, this study utilized hyperspectral technology combined with a feature variable selection method to conduct quantitative dete...
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Guanwei Shi, Xin Du, Mingwei Du, Qiangzi Li, Xiaoli Tian, Yiting Ren, Yuan Zhang and Hongyan Wang
Cotton constitutes 81% of the world?s natural fibers. Accurate and rapid cotton yield estimation is important for cotton trade and agricultural policy development. Therefore, we developed a remote sensing index that can intuitively represent cotton boll ...
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Jeff B. Langman, Julianna Martin, Ethan Gaddy, Jan Boll and David Behrens
A snowpack?s d2H and d18O values evolve with snowfall, sublimation, evaporation, and melt, which produces temporally variable snowpack, snowmelt, and runoff isotope signals. As a snowpack ages, the relatively depleted d2H and d18O values of snow will bec...
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