A Smart Irrigation System Using the IoT and Advanced Machine Learning Model
International Journal of Computational and Experimental Science and EngineeringThe rapid advancement of IoT (Internet of Things) technologies and sophisticated machine learning models is driving innovation in irrigation systems, laying the foundation for more effective and eco-friendly smart agricultural procedures. This systematic
Ponugoti Kalpana +5 more
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A compendium of Technologies, Practices, Services and Policies for Scaling Climate Smart Agriculture in Odisha (India) [PDF]
, 2020 Stakeholders engaged in agricultural research for development (AR4D) are increasingly tackling risks associated with climate change in smallholder systems.
Biswal, Sabyasachi +5 more
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The Economic Reality of Underutilised Crops for Climate Resilience, Food Security and Nutrition: Assessing Finger Millet Productivity in India [PDF]
, 2018 In spite of the considerable potential contribution of neglected and underutilised crops to climate resilience, food security and nutrition; widespread adoption of these crops remains a challenge.
Ganesh, K. B. +5 more
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A Review on Optimizing Water Management in Agriculture through Smart Irrigation Systems and Machine Learning [PDF]
E3S Web of ConferencesOptimizing irrigation water usage is crucial for sustainable agriculture, especially in the context of increasing water scarcity and climate variability.
Belarbi Zaid, El Younoussi Yacine
doaj +1 more source
A comprehensive and systematic study in smart drip and sprinkler irrigation systems
Smart Agricultural Technology, 2023 Many regions of the world have unpredictable rainfall, making agriculture impossible to sustain without diverse irrigation technologies. Irrigation has a huge impact on crop productivity, but traditional irrigation systems can be replaced with Advanced ...
Drashti Bhavsar +4 more
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Development of a Rooftop Collaborative Experimental Space through Experiential Learning Projects [PDF]
, 2019 The Solar, Water, Energy, and Thermal Laboratory (SWEAT Lab) is a rooftop experimental space at the University of Texas at Austin built by graduate and undergraduate students in the Cockrell School of Engineering.
Edrey, Yuval +4 more
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Machine Learning for Smart Irrigation in Agriculture: How Far along Are We?
Inf.The management of water resources is becoming increasingly important in several contexts, including agriculture. Recently, innovative agricultural practices, advanced sensors, and Internet of Things (IoT) devices have made it possible to improve the ...
M. D. Coco, Marco Leo, P. Carcagnì
semanticscholar +1 more source
EDIS, 2009 AE445, a 6-page illustrated fact sheet by Michael D. Dukes, Mary L. Shedd, and Stacia L. Davis, is part of the Smart Irrigation Controllers series. It presents programming guidelines for several examples of ET controllers available in Florida.
Michael D. Dukes +2 more
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Tanzania Country Climate Risk Profile Series, Kilolo District [PDF]
, 2020 The agricultural sector in Tanzania has been exposed to high climatic risks for the past several decades (Arce & Caballero, 2015). Experts and farmers assert that climatic risks including unpredictable rainfall, prolonged drought, and increased ...
Begasha, Edgar +2 more
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Tanzania Country Climate Risk Profile Series, Mufindi District [PDF]
, 2020 The agricultural sector in Tanzania is facing high climatic risks. Frequent and severe temperature and precipitation, recurrent droughts and increased incidences of pests and diseases are some of the climate effects that have been observed.
Begasha, Edgar +2 more
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