[HTML][HTML] Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …
genomics and environment on plants, limiting the progress of smart breeding and precise …
Remote sensing-based estimation of rice yields using various models: A critical review
DMG dela Torre, J Gao… - Geo-Spatial Information …, 2021 - Taylor & Francis
Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …
management. Field-scale models have increased our understanding of rice yield and its …
A near real-time deep learning approach for detecting rice phenology based on UAV images
Near real-time crop phenology detection is essential for crop management, estimation of
harvest time and yield estimation. Previous approaches to crop phenology detection have …
harvest time and yield estimation. Previous approaches to crop phenology detection have …
[PDF][PDF] The status of the paddy and rice industry in Malaysia
SC Omar, A Shaharudin, SA Tumin - Khazanah Research Institute …, 2019 - krinstitute.org
Answer:• It is a constant race between the crop and the environment (biotic and abiotic).
Therefore, having a number of different varieties prolongs our on-farm advantage• Each farm …
Therefore, having a number of different varieties prolongs our on-farm advantage• Each farm …
Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal
Crop yield estimation is a major issue of crop monitoring which remains particularly
challenging in develo** countries due to the problem of timely and adequate data …
challenging in develo** countries due to the problem of timely and adequate data …
[HTML][HTML] Index insurances for grasslands–A review for Europe and North-America
Grassland based farming systems are exposed to extreme weather events causing volatile
farm incomes. Grazing and lacking yield measurements make it largely impossible to insure …
farm incomes. Grazing and lacking yield measurements make it largely impossible to insure …
Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis and remote sensing data
D De Clercq, A Mahdi - Agricultural Systems, 2024 - Elsevier
CONTEXT Yield forecasting, the science of predicting agricultural productivity before the
crop harvest occurs, helps a wide range of stakeholders make better decisions around …
crop harvest occurs, helps a wide range of stakeholders make better decisions around …
Panicle-cloud: An open and ai-powered cloud computing platform for quantifying rice panicles from drone-collected imagery to enable the classification of yield …
Z Teng, J Chen, J Wang, S Wu, R Chen, Y Lin… - Plant …, 2023 - spj.science.org
Rice (Oryza sativa) is an essential stable food for many rice consumption nations in the
world and, thus, the importance to improve its yield production under global climate …
world and, thus, the importance to improve its yield production under global climate …
Automated near-real-time map** and monitoring of rice extent, crop** patterns, and growth stages in Southeast Asia using Sentinel-1 time series on a Google …
More than 50% of the world's population consumes rice. Accurate and up-to-date
information on rice field extent is important to help manage food and water security …
information on rice field extent is important to help manage food and water security …
Insuring crops from space: the potential of satellite-retrieved soil moisture to reduce farmers' drought risk exposure
Crop producers face significant and increasing drought risks. We evaluate whether
insurances based on globally and freely available satellite-retrieved soil moisture data can …
insurances based on globally and freely available satellite-retrieved soil moisture data can …