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Machine learning offers insights into the impact of in vitro drought stress on strawberry cultivars
Ö Şimşek - Agriculture, 2024 - mdpi.com
This study aimed to assess the susceptibility of three strawberry cultivars
(“Festival”,“Fortuna”, and “Rubygem”) to drought stress induced by varying polyethylene …
(“Festival”,“Fortuna”, and “Rubygem”) to drought stress induced by varying polyethylene …
[PDF][PDF] Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies.
Agriculture plays a crucial role in the economy, and there is an increasing global emphasis
on automating agricultural processes. With the tremendous increase in population, the …
on automating agricultural processes. With the tremendous increase in population, the …
Leveraging machine learning to unravel the impact of cadmium stress on goji berry micropropagation
This study investigates the influence of cadmium (Cd) stress on the micropropagation of Goji
Berry (Lycium barbarum L.) across three distinct genotypes (ERU, NQ1, NQ7), employing an …
Berry (Lycium barbarum L.) across three distinct genotypes (ERU, NQ1, NQ7), employing an …
Explainable light-weight deep learning pipeline for improved drought stress identification
Introduction Early identification of drought stress in crops is vital for implementing effective
mitigation measures and reducing yield loss. Non-invasive imaging techniques hold …
mitigation measures and reducing yield loss. Non-invasive imaging techniques hold …
[HTML][HTML] β values obtained by linear regression models of morpho-physiological and biochemical variables as novel drought stress estimators in Capsicum annuum …
Capsicum annuum varieties are highly sensitive to drought. Under water stress conditions,
these can show yield losses of up to 70%. Due to the above, this work proposes a novel …
these can show yield losses of up to 70%. Due to the above, this work proposes a novel …
An Explainable Vision Transformer with Transfer Learning Combined with Support Vector Machine Based Efficient Drought Stress Identification
AK Patra, A Varshney, L Sahoo - ar**: detecting plant salt stress status using machine learning techniques
G Del Cioppo, S Scalabrino, GS Scippa… - Botanical Journal of …, 2024 - academic.oup.com
Plant stress phenoty** is a useful tool to facilitate targeted interventions and optimize
management practices of plants growing in stressful conditions. However, various technical …
management practices of plants growing in stressful conditions. However, various technical …
AI-Driven Approach to Precision Agriculture
D Ghosh, MA Siddique, D Pal - AI in Agriculture for Sustainable …, 2024 - taylorfrancis.com
The current scenario of agricultural trends requires resilience, constancy, and enhanced
productivity to meet growing demands, confronting climate crisis, transboundary pests, and …
productivity to meet growing demands, confronting climate crisis, transboundary pests, and …
Development of a Two‐Layer Meta‐Classifier–Based Drought Stress Detection System for Wheat Crop Sustainability
Focusing on the Raj 3765 wheat variety's chlorophyll fluorescence–based canopy level
images, this research aims to formulate an ultraprecise, bilayered meta‐classifier to curtail …
images, this research aims to formulate an ultraprecise, bilayered meta‐classifier to curtail …