Low-cost microprocessed instrument for evaluating soil temperature profile
نویسندگان
چکیده
منابع مشابه
A Measuring Instrument for Multipoint Soil Temperature Underground
A new measuring instrument for 10 points soil temperatures in 0~50 centimeters depth underground was designed. System was based on Silicon Laboratories’ MCU C8051F310, single chip digital temperature sensor DS18B20, and other peripheral circuits. It was simultaneously able to measure, memory and display, and also convey data to computer via a standard RS232 interface.
متن کاملClimate change Effects of Surface soil temperature profile in Ahwaz
In arid and semi-arid regions, soil surface warming is a considerable phenomenon causing a high thermal gradient which makes water flow intensely. The degree of soil temperature is effective on crop production, plant growth and soil microorganisms. In recent years, the ascending trend of temperature has been substantially noticed by researchers in the issues of pointwise climate change and at w...
متن کاملAn Accurate, Low Cost Firmness Measuring Instrument.
A low-cost, automatic firmness measuring instrument was developed using commercially available components such as: dial gage, dashpot lowering mechanism, weight sets and probe tips. The details of the assembly and the names of parts manufacturers are given. The instrument is an automated modification of the original P-L Meter developed by Parker and Levin at Michigan State University. The appli...
متن کاملPotential Assessment of ANNs and Adaptative Neuro Fuzzy Inference systems (ANFIS) for Simulating Soil Temperature at diffrent Soil Profile Depths
Objective: Soil temperature serves as a key variable in hydrological investigations to determine soil moisture content as well as hydrological balance in watersheds. The ingoing research aims to shed lights on potential of artificial neural networks (ANNs) and Neuro-Fuzzy inference system (ANFIS) to simulate soil temperature at 5-100 cm depths. To satisfy this end, climatic and...
متن کاملPotential Assessment of ANNs and Adaptative Neuro Fuzzy Inference systems (ANFIS) for Simulating Soil Temperature at diffrent Soil Profile Depths
Objective: Soil temperature serves as a key variable in hydrological investigations to determine soil moisture content as well as hydrological balance in watersheds. The ingoing research aims to shed lights on potential of artificial neural networks (ANNs) and Neuro-Fuzzy inference system (ANFIS) to simulate soil temperature at 5-100 cm depths. To satisfy this end, climatic and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Pesquisa Agropecuária Brasileira
سال: 2000
ISSN: 0100-204X
DOI: 10.1590/s0100-204x2000001100020