Abstract:Soil temperature controls gaseous nitrogen losses through nitrous oxide (N 2 O) and ammonia (NH 3) fluxes. Eight surface soils from agricultural fields across the United States were incubated at 10˚C, 20˚C, and 30˚C, and N 2 O and NH 3 flux were measured twice a week for 91 and 47 d, respectively. Changes in cumulative N 2 O and NH 3 flux and net N mineralization at three temperatures were fitted to calculate Q 10 using the Arrhenius equation. For the majority of soils, Q 10 values for the N 2 O loss ranged be… Show more
“…Sudden changes in the soil temperature significantly impact the sensitive crops that are grown only in a specific season of the year 9 . Therefore, the food production is critically impacted 10 .…”
Soil temperatures at both surface and various depths are important in changing environments to understand the biological, chemical, and physical properties of soil. This is essential in reaching food sustainability. However, most of the developing regions across the globe face difficulty in establishing solid data measurements and records due to poor instrumentation and many other unavoidable reasons such as natural disasters like droughts, floods, and cyclones. Therefore, an accurate prediction model would fix these difficulties. Uzbekistan is one of the countries that is concerned about climate change due to its arid climate. Therefore, for the first time, this research presents an integrated model to predict soil temperature levels at the surface and 10 cm depth based on climatic factors in Nukus, Uzbekistan. Eight machine learning models were trained in order to understand the best-performing model based on widely used performance indicators. Long Short-Term Memory (LSTM) model performed in accurate predictions of soil temperature levels at 10 cm depth. More importantly, the models developed here can predict temperature levels at 10 cm depth with the measured climatic data and predicted surface soil temperature levels. The model can predict soil temperature at 10 cm depth without any ground soil temperature measurements. The developed model can be effectively used in planning applications in reaching sustainability in food production in arid areas like Nukus, Uzbekistan.
“…Sudden changes in the soil temperature significantly impact the sensitive crops that are grown only in a specific season of the year 9 . Therefore, the food production is critically impacted 10 .…”
Soil temperatures at both surface and various depths are important in changing environments to understand the biological, chemical, and physical properties of soil. This is essential in reaching food sustainability. However, most of the developing regions across the globe face difficulty in establishing solid data measurements and records due to poor instrumentation and many other unavoidable reasons such as natural disasters like droughts, floods, and cyclones. Therefore, an accurate prediction model would fix these difficulties. Uzbekistan is one of the countries that is concerned about climate change due to its arid climate. Therefore, for the first time, this research presents an integrated model to predict soil temperature levels at the surface and 10 cm depth based on climatic factors in Nukus, Uzbekistan. Eight machine learning models were trained in order to understand the best-performing model based on widely used performance indicators. Long Short-Term Memory (LSTM) model performed in accurate predictions of soil temperature levels at 10 cm depth. More importantly, the models developed here can predict temperature levels at 10 cm depth with the measured climatic data and predicted surface soil temperature levels. The model can predict soil temperature at 10 cm depth without any ground soil temperature measurements. The developed model can be effectively used in planning applications in reaching sustainability in food production in arid areas like Nukus, Uzbekistan.
“…In 2020, Zhang established differential equation model for the requirements proportion of carbon, nitrogen and potassium under the influence of audio frequency [9]. For more relevant works of literature, we may refer to [10] [11]. (F3) Carbon is transported from leaf to root, while nitrogen is in reverse.…”
Tomato is a common food on the human table. Up to now, the research on the growth and development model of tomato has been about 50 years. There are many researches on the main nutrients of tomato, such as carbon and nitrogen, but few on the trace element zinc. In this paper, taking plant nutrient C, N and Z n as variables, the differential equation model of C, N and Z n in tomato growth and development was established. According to the research of tomato as a whole and divided into root and leaf, the one-compartment and two-compartment models of tomato growth and development were established. The model was analyzed by Matlab program, and the existing experimental data was used to test the numerical simulation results, which proves that the model conforms to the facts.
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