Towards Paddy Rice Smart Farming: A Review on Big Data, Machine Learning, and Rice Production Tasks

نویسندگان

چکیده

Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a large impact on Smart Farming involve the whole supply chain, particularly for rice production. The increasing amount variety data captured obtained by these emerging technologies in IoT offer smart farming strategy new abilities predict changes identify opportunities. quality collected from sensors greatly influences performance modelling processes using ML algorithms. These three elements (e.g., BD, IoT) been used tremendously improve all areas production agriculture, which transform traditional practices into era or precision agriculture. In this paper, we perform survey latest research intelligent processing technology applied We describe elaborate role machine learning algorithms paddy analyzing applications various scenarios, irrigation rice, predicting yield estimation, monitoring growth, disease, assessing sample classification. This paper also presents framework that maps activities defined farming, each activity post-production phases rice. Based proposed mapping framework, our conclusion is an efficient effective integration very crucial cultivation perspective intelligence Finally, summarizes challenges technological trends towards exploitation multiple sources big

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Rice farming in Bali: organic production and marketing challenges.

All is not well with agriculture in Southeast Asia. The productivity gains of the Green Revolution have slowed and even reversed and environmental problems and shortages of water and land are evident. At the same time changing world markets are shifting the dynamics of national agricultural economies. But from the point of view of farmers themselves, it is their season-to-season economic surviv...

متن کامل

Energy use efficiency, GHG emissions, and carbon efficiency of paddy rice production in Iran

The energy efficiency, greenhouse gas (GHG) emissions, and carbon efficiency of paddy rice production were analysed in Sari in the Mazandaran province of Iran during 2011–2012. Data was collected through questionnaires and interviews with paddy producers. The results showed that the net energy gain was 27,932 MJ ha-1 and energy efficiency was 1.83 during production. The results o...

متن کامل

Correct classification for big/smart/fast data machine learning

Table (database) / Relational database Classification for big/smart/fast data machine learning is one of the most important tasks of predictive analytics and extracting valuable information from data. It is core applied technique for what now understood under data science and/or artificial intelligence. Widely used Decision Tree (Random Forest) and rare used rule based PRISM , VFST, etc classif...

متن کامل

Energy use efficiency, GHG emissions, and carbon efficiency of paddy rice production in Iran

The energy efficiency, greenhouse gas (GHG) emissions, and carbon efficiency of paddy rice production were analysed in Sari in the Mazandaran province of Iran during 2011–2012. Data was collected through questionnaires and interviews with paddy producers. The results showed that the net energy gain was 27,932 MJ ha-1 and energy efficiency was 1.83 during production. The results o...

متن کامل

Study on Drying Kinetics of Paddy Rice: Intermittent Drying

The intermittent drying characteristics of an Iranian popular paddy rice variety were experimentally investigated to determine the drying kinetics and obtain the effective moisture diffusivity. A lab-scale fluidized bed dryer was designed and constructed to enable obtaining the required results while controlling critical drying parameters. The effects of drying temperature and tempering per...

متن کامل

ذخیره 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: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3069449