MachIne learning for nutrient recovery in the smart city circular economy–A review
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
significantly to economic growth, while becoming epicentres of waste generation …
A systematic review of artificial intelligence in agriculture
The current world population is 7.8 billion and is projected to reach 9.8 billion by 2050. The
limited land area and strong need to produce more crop to feed the ever-increasing …
limited land area and strong need to produce more crop to feed the ever-increasing …
Soil NPK and moisture analysis using wireless sensor networks
R Madhumathi, T Arumuganathan… - 2020 11th International …, 2020 - ieeexplore.ieee.org
Agriculture plays a vital role in the economic development of our country. Crop yield
primarily depends on soil fertility and moisture level. Fertilizers are normally recommended …
primarily depends on soil fertility and moisture level. Fertilizers are normally recommended …
Machine learning strategy for soil nutrients prediction using spectroscopic method
J Trontelj ml, O Chambers - Sensors, 2021 - mdpi.com
The research presented in this paper is based on the hypothesis that the machine learning
approach improves the accuracy of soil properties prediction. The correlations obtained in …
approach improves the accuracy of soil properties prediction. The correlations obtained in …
Precision agriculture for small to medium size farmers—an IoT approach
Word population has almost doubled during the last century increasing dramatically the
need for food to support a population over 7 billion persons. According to FAO, by 2050, the …
need for food to support a population over 7 billion persons. According to FAO, by 2050, the …
Estimation of soil properties from the EU spectral library using long short-term memory networks
Recent advances in Deep learning altered the traditional way of data analysis in various
domains. This study focuses primarily on the quantification of soil properties from the …
domains. This study focuses primarily on the quantification of soil properties from the …
An image classifier for underwater fish detection using classification tree-artificial neural network hybrid
VJD Almero, RS Concepcion… - … on computing and …, 2020 - ieeexplore.ieee.org
Fish detection using imaging technologies and computer vision systems is considered as an
effective tool in fish monitoring for increasing the production to satisfy future global demands …
effective tool in fish monitoring for increasing the production to satisfy future global demands …
Soil fertilizer recommendation system using fuzzy logic
JJI Haban, JCV Puno, AA Bandala… - 2020 IEEE REGION …, 2020 - ieeexplore.ieee.org
Soil nutrients and season have direct impact on the growth and yield of a crop. Deficiency on
the nutrient level of the soil may result to plant disease while applying excessive amount of …
the nutrient level of the soil may result to plant disease while applying excessive amount of …
Bioinspired optimization of germination nutrients based on Lactuca sativa seedling root traits as influenced by seed stratification, fortification and light spectrums
RS Concepcion II, EP Dadios - AGRIVITA Journal of Agricultural …, 2021 - agrivita.ub.ac.id
Ecophysiological stimulators directly affect root morphology, especially in the embryonic
stage. To enhance crop germination, an understanding of the root traits under abiotic …
stage. To enhance crop germination, an understanding of the root traits under abiotic …
How to feed a growing population—an iot approach to crop health and growth
Humankind consumes the planet's resources beyond what the Earth can provide with
estimations according 9.2 billion human beings in 2050 consuming yearly almost twice the …
estimations according 9.2 billion human beings in 2050 consuming yearly almost twice the …