Results 51 to 60 of about 5,112 (213)
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Using CERES-maize and ENSO as decision support tools to evaluate climate-sensitive farm management practices for maize production in the northern regions of Ghana [PDF]
, 2017 Open Access JournalMaize (Zea mays) has traditionally been a major cereal staple in southern Ghana. Through breeding and other crop improvement efforts, the zone of cultivation of maize has now extended to the northern regions of Ghana which, hitherto ...
Adiku, Samuel G.K. +4 more
core +2 more sources
A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content
Journal of Plant Nutrition and Soil Science, Volume 189, Issue 1, Page 117-130, February 2026.ABSTRACT Background Precision agriculture (PA) is a site‐specific management approach that utilises spatiotemporal information to improve productivity while also promoting sustainability. Accurate estimates of soil properties, along with the uncertainty of these estimates, are necessary for decision‐making in PA.
Leonardo Inforsato +6 more
wiley +1 more source
SIMULASI PRODUKSI TANAMAN PADI MENGGUNAKAN DSSAT DI KABUPATEN SIDOARJO, JAWA TIMUR
Jurnal Agrotek Tropika, 2023 Padi merupakan komoditas tanaman pangan penghasil beras sebagai makanan pokok yang digantikan oleh bahan pokok lain. Produksi tanaman padi dalam kurun waktu selama 2 (dua) tahun yaitu tahun 2020 dan tahun 2021 terjadi penurunan produksi padi 0,43 ...
Purwadi Purwadi +2 more
doaj +1 more source
A High‐Precision Crop Water Footprint Quantification Framework Based on Data Assimilation
Water Resources Research, Volume 62, Issue 2, February 2026.Abstract Agricultural production is a major consumer of water resources, and the crop water footprint (CWF) serves as a comprehensive metric for assessing agricultural water use efficiency and its associated impacts, thereby providing new insights for agricultural water management.
Ting Bai +8 more
wiley +1 more source
Estimating Genetic Parameters for DSSAT CROPGRO-Cotton Model Calibration and Validation
International Journal of Plant & Soil Science, 2021 DSSAT CROPGRO-Cotton Model (version 4.7.5) was generally used to forecast the effect of climate change on productivity. The objective of this study was to calibrate and validate this model in Tamil Nadu, India for simulation of development, growth and seed cotton yield of Suraj cotton cultivars under varied planting dates viz., 28th July, 11th August ...
Balaji Kannan +5 more
openaire +2 more sources
Agronomy Journal, Volume 118, Issue 1, January/February 2026.Abstract Phosphorus (P) is essential for maize (Zea mays L.) growth but is a limited and non‐renewable resource. Studies using DSSAT CSM‐CERES‐Maize remain scarce for low‐P soils. This study assessed maize yield response to P fertilization in P‐deficient soils using an adapted version of the DSSAT CSM‐CERES‐Maize model with minor code modifications to ...
Shinhye Lee +4 more
wiley +1 more source
Launch of the Ethiopian Digital AgroClimate Advisory Platform (EDACaP) Progress Report on EDACaP Development and Hosting [PDF]
, 2020 This brief outlines progress achieved with the establishment of the Ethiopian Digital AgroClimate Advisory Platform (EDACaP) under the CCAFS project P263 (Regional and national engagement, synthesis and strategic research) with support from P1605 ...
Seid, Jemal +2 more
core
DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions [PDF]
Agricultural Water Management, 2019 This work was funded by the Ministry of Economy and Competitiveness of the Spanish Government through the research grants (AGL2013-48728-C2-2-R). We thank this Ministry for awarding Wafa Malik a predoctoral fellowship.
Malik, Wafa, Dechmi, Farida
openaire +2 more sources
Agronomy Journal, Volume 118, Issue 1, January/February 2026.Abstract Crop models are essential tools to understand risks, vulnerabilities, and uncertainties in agricultural systems. Advancements in digital data acquisition and accessibility of crop and land area data with larger spatial coverage and higher spatial resolutions necessitate corresponding developments in flexible multi‐scale crop modeling ...
Vijaya R. Joshi +3 more
wiley +1 more source