Artificial neural network to estimate the paddy yield prediction using climatic data
V Amaratunga, L Wickramasinghe… - Mathematical …, 2020 - Wiley Online Library
Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well‐
known fact that climate change has been accelerated over the past decades due to various …
known fact that climate change has been accelerated over the past decades due to various …
Role of artificial intelligence in achieving global food security: a promising technology for future
Rapid growth of population, diminishing natural resources, climate change, shrinking
agricultural lands and unstable markets are making the global food systems rather insecure …
agricultural lands and unstable markets are making the global food systems rather insecure …
An artificial neural network for predicting groundnut yield using climatic data
Groundnut, being a widely consumed oily seed with significant health benefits and
appealing sensory profiles, is extensively cultivated in tropical regions worldwide. However …
appealing sensory profiles, is extensively cultivated in tropical regions worldwide. However …
[HTML][HTML] Predicting river water quality: an imposing engagement between machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)
Rivers play an essential role in supplying high-quality water to diverse sectors.
Understanding water quality indicators and systematic monitoring is crucial for water …
Understanding water quality indicators and systematic monitoring is crucial for water …
Assessing machine learning models for streamflow estimation: a case study in Oued Sebaou watershed (Northern Algeria)
This paper proposes runoff models based on machine learning to estimate daily streamflows
in Oued Sebaou watershed, a Mediterranean coastal basin located in northern Algeria …
in Oued Sebaou watershed, a Mediterranean coastal basin located in northern Algeria …
Wetland water-level prediction in the context of machine-learning techniques: where do we stand?
Wetlands are simply areas that are fully or partially saturated with water. Not much attention
has been given to wetlands in the past, due to the unawareness of their value to the general …
has been given to wetlands in the past, due to the unawareness of their value to the general …
[HTML][HTML] A novel deep learning model to predict the soil nutrient levels (N, P, and K) in cabbage cultivation
Cabbage (Brassica oleracea) is a green cruciferous vegetable. Major nutrients (nitrogen,
phosphorus, and potassium) are frequently applied to the soil due to low fertility levels …
phosphorus, and potassium) are frequently applied to the soil due to low fertility levels …
Carbon dioxide reforming of methane over Ni-based catalysts: Modeling the effect of process parameters on greenhouse gasses conversion using supervised …
This study aims to model the effect of process parameters on the conversion of carbon
dioxide (CO 2) and methane (CH 4) during reforming reaction over Nickel (Ni) catalysts …
dioxide (CO 2) and methane (CH 4) during reforming reaction over Nickel (Ni) catalysts …
Computational analysis for rainfall characterization and drought vulnerability in Peninsular India
This paper analyzes the historical rainfall characterization and drought conditions in two
major southern states of India, namely, Tamil Nadu and Karnataka, through estimation of …
major southern states of India, namely, Tamil Nadu and Karnataka, through estimation of …
Annual fluctuation of gas concentration within the landfill surface layer in a tropical climate: A case study of a municipal wasteyard
This study looks at the annual variations in landfill gas concentrations within the surface
layer of the dump as well as the effect of climatic factors on these variations under the …
layer of the dump as well as the effect of climatic factors on these variations under the …