Results 61 to 70 of about 681 (181)

Field‐Scale Soil Moisture Predictions in Real Time Using In Situ Sensor Measurements in an Inverse Modeling Framework: SWIM2

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Affordable autonomous soil sensors and IoT technology enable real‐time soil moisture monitoring, which offers opportunities for real‐time model calibration and irrigation optimization. We introduce an irrigation decision support system SWIM2 (Sensor Wielded Inverse Modeling of a Soil Water Irrigation Model), a digital twin that integrates ...
Marit G. A. Hendrickx, Jan Vanderborght, Pieter Janssens, Eric Laloy, Sander Bombeke, Evi Matthyssen, Anne Waverijn, Jan Diels   +7 more
wiley   +1 more source

AquaCrop v7.2 Reference Manual

AquaCrop technical resources for v7.2: (1) reference manual with user guide, calculation procedures, calibration, etc.
Raes, Dirk, Steduto, Pasquale, Hsiao, Theodore, Fereres, Elias, Busschaert, Louise, Bechtold, Michel, de Roos, Shannon, Heyvaert, Zdenko, Mortelmans, Jonas, Scherrer, Samuel, Van den Bossche, Maxime, De Lannoy, Gabrielle   +11 more
openaire   +1 more source

Modeling saffron corm production under climate change using Hydrus‐1D enhanced with a novel crop yield module

Vadose Zone Journal, Volume 24, Issue 6, November/December 2025.
Abstract Saffron (Crocus sativus L.) is an ideal crop for arid and semiarid regions due to its low water requirement and high economic value. This study involves calibration and validation of the Hydrus‐1D model in order to explore the influence of climate change on saffron corm production.
Amir Akbari, Ali Naghi Ziaei, Seyed Mohammadreza Naghedifar, Jan W. Hopmans, Jamile Gholipour   +4 more
wiley   +1 more source

Assessment of Climate Change Impacts on Cotton Yield in a Semi-Arid Region: A Case Study

Journal of Applied Science and Engineering
Cotton cultivation in India is of vital importance to the national economy. However, the susceptibility of cotton crops to climate change poses significant challenges. Recognizing the spatial heterogeneity of climate change’s influence, comprehending its
Kandula Srikanth, N V Umamahesh
doaj   +1 more source

Impact of calibration strategy and data on wheat simulation with the DSSAT‐Nwheat model

Agronomy Journal, Volume 117, Issue 4, July/August 2025.
Abstract Cropping system models (CSMs) are valuable tools for analyzing genotype, environment, and management (G × E × M) interactions in crop production. To apply a CSM in a new region with specific soils, climate, and cultivars, proper calibration and evaluation are required.
Ashifur Rahman Shawon, Ahmed Attia, Jonghan Ko, Emir Memic, Ralf Uptmoor, Bernd Hackauf, Til Feike   +6 more
wiley   +1 more source

SENSITIVITY ANALYSIS OF AQUACROP EVAPOTRANSPIRATION TO WEATHER STATION DISTANCE

AGROFOR, 2016
Water balance calculation is essential for reliable agricultural management, and theactual evapotranspiration (ET) is the most complicated balance term to estimate. Inagriculture, the most common method used is based on Penman-Monteith referenceevaporation is determined from weather conditions for an unstressed grass cover,further multiplied by crop ...
Claire SIMONIS, Bernard TYCHON, Françoise GELLENSMEULENBERGHS   +2 more
openaire   +2 more sources

Estimates of Irrigation Water Volume by Assimilation of Satellite Land Surface Temperature or Soil Moisture Into a Water‐Energy Balance Model in Morocco

Water Resources Research, Volume 61, Issue 7, July 2025.
Abstract The agricultural sector is the biggest and least efficient water user, accounting for around 80% of total water use in North Africa, which is already strongly impacted by climate change with prolonged drought periods, imposing limitations on irrigation water availability. The objective of this study was to estimate irrigation water use for the
C. Corbari, N. Paciolla, J. Sheffield, K. Labbassi, D. C. Dos Santos Araujo, S. Berendsen, Z. Szantoi   +6 more
wiley   +1 more source

Optimization of Water and Nitrogen Regime Based on AquaCrop Model for Drip Irrigation Cotton Under Nitrogen Reduction Conditions in Northern Xinjiang

Shuitu Baochi Xuebao
[Objective] This study was aimed to test the applicability of the AquaCrop model for simulating the growth and production of drip-irrigated cotton under nitrogen-reducing conditions in the northern border, and to investigate the optimal nitrogen-reducing
WANG Sijia, WANG Chunxia, ZHANG Jingrui, YANG Yuefa   +3 more
doaj   +1 more source

Estimation of Forage Yield Using the Second Derivative of Normalized Difference Vegetation Index Time Series From Sentinel‐2

Grass and Forage Science, Volume 80, Issue 3, July-September 2025.
ABSTRACT Accurate estimation of forage yield is essential, as forage plays an indirect yet vital role in the global food supply. Various methods were developed to obtain quantitative forage yield estimates from remotely sensed data. This study's main goal was to estimate forage yield from Sentinel‐2 time series imagery from 2021 and 2022.
Nilda Sánchez, Javier Plaza, Léa Pouyez, Carlos Palacios   +3 more
wiley   +1 more source

Adaptation of the process‐based CSM‐CROPGRO model to simulate the growth and development of industrial hemp for seed and fiber production

Agrosystems, Geosciences &Environment, Volume 8, Issue 2, June 2025.
Abstract Industrial hemp (Cannabis sativa L.) is a re‐emerging crop in the United States with unique agronomic challenges that require location‐specific studies and guidance. Digital farming tools, such as crop growth models, can facilitate this process by enabling a better understanding of the farming system.
Alwin Hopf, Kenneth J. Boote, Yogendra Upadhyaya, Hardeep Singh, Michael J. Mulvaney, Navdeep Kaur, Lakesh K. Sharma, Zachary Brym, Jonathan A. Watson, Gerrit Hoogenboom   +9 more
wiley   +1 more source