A comprehensive review of recent approaches and Hardware-Software technologies for digitalisation and intellectualisation of Open-Field crop Production: Ukrainian …
Today, open-field crop agriculture is becoming an increasingly knowledge-intensive
industry, driven by global trends in scientific and technological development in the …
industry, driven by global trends in scientific and technological development in the …
A systematic review of radiative transfer models for crop yield prediction and crop traits retrieval
RAF Ishaq, G Zhou, C Tian, Y Tan, G **g, H Jiang - Remote Sensing, 2023 - mdpi.com
Radiative transfer models (RTMs) provide reliable information about crop yield and traits
with high resource efficiency. In this study, we have conducted a systematic literature review …
with high resource efficiency. In this study, we have conducted a systematic literature review …
[HTML][HTML] A comprehensive analysis of the advances in Indian Digital Agricultural architecture
ICT-based interventions such as smart farming and precision agriculture are hel** to
improve the output of traditional agricultural systems and drive them toward sustainability …
improve the output of traditional agricultural systems and drive them toward sustainability …
Attention mechanisms in convolutional neural networks for nitrogen treatment detection in tomato leaves using hyperspectral images
Nitrogen is an essential macronutrient for the growth and development of tomatoes.
However, excess nitrogen fertilization can affect the quality of tomato fruit, making it …
However, excess nitrogen fertilization can affect the quality of tomato fruit, making it …
Energy Harvesting Systems for Agricultural Needs
Nowadays smart farming is shifting toward electrical energy use in agricultural application.
Solar voltaic technology is common on the farmland to supply primary energy to farm as well …
Solar voltaic technology is common on the farmland to supply primary energy to farm as well …
[HTML][HTML] A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics
Canola (Brassica napus L.) yield prediction using a combined application of small
unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant …
unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant …
[HTML][HTML] Potential of temporal satellite data analysis for detection of weed infestation in rice crop
Weeds are unwanted vegetation that compete with main crops for essential resources like
light, water, and nutrients, leading to significant reductions in food crop yield and economic …
light, water, and nutrients, leading to significant reductions in food crop yield and economic …
Evaluating spectral properties of invasive plant species in Kentucky recreation areas
This study examines the spectral characteristics of two invasive plant species, Amur
honeysuckle (Lonicera maackii) and Callery 'Bradford'pear (Pyrus calleryana Decne), in …
honeysuckle (Lonicera maackii) and Callery 'Bradford'pear (Pyrus calleryana Decne), in …
Review on enhancing the efficiency of fertilizer utilization: Strategies for optimal nutrient management
The increasing global population and growing demand for food and mineral fertilizers
underscore the urgent need to enhance fertilizer efficiency. This imperative emphasizes the …
underscore the urgent need to enhance fertilizer efficiency. This imperative emphasizes the …
Assessing the effectiveness of RS, GIS, and AI data integration in analysing agriculture performance to enable sustainable land management
Abstract The integration of Earth Remote Sensing (ERS) data with advancements in artificial
intelligence has revolutionised sustainable land management. Current research in this field …
intelligence has revolutionised sustainable land management. Current research in this field …