Agricultural Systems Research Articles

Growth regulation in bread wheat via novel bioinoculant formulation

Wheat (Triticum aestivum L.) is one of the most significant crops and the backbone of food security worldwide. However, low wheat production remains a substantial concern in global agricultural systems. It can be attributed to several factors, including adverse climatic conditions, plant disease and poor soil quality. Recent efforts have explored bioinoculant applications as a promising approach to enhance wheat yield, trying to mitigate constraints essential for future wheat production and global food security. This study tested talc powder, wheat biochar, sugarcane bagasse biochar, and farmyard manure as carriers with two endophytic bacterial strains, Burkholderia phytofirmans PsJN and Bacillus spp. MN54 was applied to three wheat varieties (Ujala-16, Zincol-16, and Fathejang-16). The data was recorded at the seedling and maturity growth stages of plants. A pot experiment revealed significant improvements in plant growth following bioinoculant application compared to controls. Notably, the combination of sugarcane bagasse biochar with Bacillus sp. MN54 exhibited the most pronounced effects, promoting internodal length, spike length, tiller number per plant, grain yield per plant, and spikelets per spike. Additionally, talc powder with Bacillus sp. MN54 increased peduncle length, tiller number per plant, and spike length in Fathejang-16. These findings offer valuable insights into optimizing bioinoculant formulations for improved agricultural practices, adapting to climate change, and contributing to ensuring global food security.

Phosphorus lability in a Ferralsol as affected by land-use change in the Brazilian Cerrado

ABSTRACT Low availability of phosphorus (P) is a constraint to agricultural development in tropical soils, owing to the high fixation of P in the soil matrix. Land-use change can modify soil P dynamics. This study aimed to evaluate the effects of land-use change on P fractions in a Ferralsol under different systems of use and management. Inorganic (Pi) and organic soil P (Po) fractions were assessed by sequential fractionation using H2O, NaHCO3, NaOH, hot concentrated HCl and H2SO4-H2O2 as extractants. The systems in the study were as follows: pasture (PAST), no-tillage system (NT), organic cultivation (ORG) with 2, 6, 8 and 10 years of organic management, and conventional continuous cropping tillage (CT). A native Cerrado forest (F) area was used as reference. In general, Po forms predominated over Pi, with exception of the CT soil, where Pi represented 41% of the total P. On average, conversion of F into the CT system reduced levels of Po in the soil by up to 72%. The soil P resilience index showed that P inputs in the CT and NT systems were insufficient at recovering P availability after the land-use change. On the other hand, the most recent ORG systems demonstrated the greatest efficiency at restoring the equilibrium of the soil P state. The hypothesis that less intensive agricultural systems increase the soil labile P pool, enhancing available P levels, was confirmed. Agricultural systems that used organic inputs and reduced soil disturbance were found to be more efficient at recovering and maintaining soil P availability.

Easy yield mapping for precision agriculture

ABSTRACT Within precision agriculture, yield mapping is important in the evaluation of crop management and delineation of management zones. It can also be used to assess within-field yield potential, in order to guide different precision agriculture practices. However, some farmers do not have a yield monitoring system, and some who do may obtain incomplete or erroneous yield data. This study examined the accuracy with which winter wheat (Triticum aestivum L.) yield could be mapped in 18 fields in southern Sweden using a simple empirical relationship between Sentinel-2 (ESA, Paris, France) data, vegetation index (VI) maps and combined harvester data collected in nearby fields. The results showed that a decrease in map resolution to 40 m reduced the error in the yield maps obtained. Normalised difference water index (NDWI) was the most efficient VI, while a combination of satellite data from earlier and later plant development (booting and milk development stages) performed slightly better than data for other development stages and combinations. The best-performing model at a within-field scale (40-m resolution) had an average mean absolute error (MAE) of 0.40 tonnes ha−1 in a leave-one-field-out cross validation. When the prediction model at field-means scale was applied on 69 farms in a 1055 km2 area, MAE was 0.75 tonnes ha−1 when comparing predictions with mean yields reported by farmers in a phone survey. Therefore, if adequate combined harvester and/or mean yield data are available, a modelling framework that translates satellite imagery into yield maps on-the-fly could be made available for different stakeholders via decision support systems for precision agriculture.

Women's dietary diversity is associated with homestead production and market access: A cross-sectional study in rural Rwanda.

Dietary diversity has been widely used as a proxy indicator for micronutrient adequacy. In low- and middle-income countries (LMICs), including Rwanda, women are at high risk of inadequate micronutrient intake resulting from poorly diversified diets. This study was conducted to examine the factors associated with women's dietary diversity, with emphasis on homestead production diversity and market access in the Northern Province of Rwanda. A cross-sectional design was used, involving 606 women aged 18-49 years. Linear regression analyses were performed to examine the association between various factors and women's dietary diversity. Results show that 84% of the sample households raised at least one livestock species. Seventy-one percent of the households had no agricultural land. Eighty percent of those without land had a homestead garden on which they grew food crops, mainly vegetables and fruit trees. The average crop species was 2.3. On average, women consumed 3 out of 9 food groups. The homestead production diversity score was positively associated with women's dietary diversity score (β = 0.16, p < 0.001). Women's dietary diversity score was negatively associated with distance from the household to the nearest market (β = -0.08, p = 0.027) and household food insecurity (β = -0.06, p < 0.001). Maternal education (p < 0.001), household wealth index (p < 0.05), and ownership of more than 2.5 acres compared to being without land (p < 0.05) were associated with women's dietary diversity score. The dietary diversity of women could be enhanced through interventions that promote the diversity of livestock and crop species produced through homestead production. Potential interventions to explore may include integrated farming systems that combine small livestock and crop production utilising improved livestock breeds and high-quality seeds and planting materials of high-yielding varieties of fruits and vegetables, along with rainwater harvesting to facilitate small-scale irrigation. The impact of such interventions on women's dietary diversity can be further reinforced by parallel programmes aimed at improving women's education and the socioeconomic status of households.

Soil Acidification and Its Temporal Changes in Tea Plantations of Guizhou Province, Southwest China

ABSTRACTSoil acidification is a significant problem in intensive agricultural systems, particularly in tea plantations. Guizhou province, located in the center of the karst mountainous region of southwest China, has the largest tea plantation area in China. However, the soil acidification characteristics in the tea plantations of Guizhou province, as well as their temporal changes, have not yet been adequately studied. Therefore, soil acidification and associated soil properties in the major tea‐planting counties of Guizhou province were extensively assessed, and the temporal changes in soil acidity over the past 11 years were also evaluated through long‐term and short‐term experiments. The results showed that the average soil pH in the tea plantations in Guizhou province varied from 4.08 to 4.87, with a mean of 4.47. The average cation exchange capacity (CEC), TEA (total exchangeable acidity, TEA), EH (exchangeable H+), and EA (exchangeable Al3+) values were 9.6, 3.7, 5.8, and 19.0 cmol/kg, respectively. Seasonal changes in tea plantation soil pH were observed in low‐ and moderately acidic soils but not in highly acidic soils. The soil pH values did not significantly change during three consecutive years of in situ observations but significantly decreased over the past 11 years at an average of 0.03 yearly. Correlation analysis revealed that the soil pH in tea plantations was significantly positively correlated with the content of specific amino acids, such as glutamic acid, arginine, and valine, but was significantly negatively correlated with certain soil physicochemical properties. The findings of this study indicate that soil acidification in tea plantations of the Guizhou province is severe and possesses distinctive attributes that should be considered for its effective management.

An evaluation of soil carbon models and their role on finding ways to net-zero carbon in agricultural systems

The estimation of changes in soil organic carbon (SOC) is a key issue for national green-house gasses (GHG) inventories, climate change mitigation programs and the estimation of carbon footprint of farm products in life cycle assessments. Any strategy related to net-zero carbon in agricultural systems needs to quantify the SOC balance. In this way, SOC models help decision makers involved in agriculture to understand the dynamics of the SOC and the interaction between all variables related to soil, climate, land use, and management, to design the best solution to reduce emissions or enable carbon sequestration. Likewise, it is important to identify suitable models for the region. This study aims to address three main subjects: a) a discussion on the importance of SOC estimation for GHG inventories and the carbon footprint of crops, using the Intergovernmental Panel on Climate Change (IPCC) Tier 1 method and AMG model; b) an evaluation and brief description of the IPCC “Steady State Method” (SSM), using experimental data from two sites in Argentina, comparing these results to AMG and RothC models (both previously validated at those sites); and c) a brief discussion about the potential use of SOC models for what-if management scenarios, their real limitations and future research needs. The three models were consistent in predicting the impact of tillage and the long-term trends in changes in SOC stocks under different management practices. The SSM model was evaluated for the first time in Argentina and performed even better than the other two models. It was consistent with the observed values, when predicting the effect of tillage system under different crop rotations, including pasture systems. Regarding efficiencies of the models, they showed acceptable Nash-Sutcliffe Efficiency (NSE) values, and the root mean square error (RMSE) was also acceptable between 3 % and 7 %, within a range of 4–5 Mg C.ha−1. Therefore, the SSM model proved to be a valuable tool to estimate SOC trends for crop and pasture rotations under different management scenarios (i.e., tillage systems and fertilization), to identify best practices that allow for a zero or positive SOC balance, in two different soil and climate conditions of the Pampean Region of Argentina. In our study, the SSM did have a better fit to the data and, furthermore, this Tier 2 method is simpler than the Tier 3 models, and, therefore, is advantageous for conducting regional assessments and GHG inventories.

ENDOPHYTIC MICROORGANISMS AS BIOCONTROL AGENTS: AN ALTERNATIVE FOR SUSTAINABLE AGRICULTURAL PRODUCTION SYSTEM

Endophytic microorganisms emerge as a sustainable alternative, offering benefits to plants, such as increased resistance to stress and pathogens. This research aims to conduct a literature review on the potential of endophytic microorganisms in the biological control of pathogens in agricultural systems, as a sustainable alternative to traditional methods. Endophytes can act directly on insects or colonize plants, creating a natural defense against pests. They also show promise in the control of phytopathogens, helping to reduce the use of chemical fungicides and encouraging more sustainable agricultural practices, producing bioactive compounds with effective antifungal activity against pathogens. In addition, they show potential as natural herbicides, negatively affecting the germination and development of weeds. Although more research is needed on the potential of endophytes in agricultural systems, they show great promise for more sustainable management.

Chinese Patent Review of Integrated Management System for Agricultural Machinery

Background: With the rapid development of China's economy and the accelerating process of agricultural mechanization, agricultural machinery has become increasingly popular in agricultural production activities. At the same time, problems in agricultural machinery management have gradually been exposed, hindering the development of modern agriculture. Objective: This study aimed to discuss the development trend of agricultural management and modern agriculture by analyzing and discussing the related patents of agricultural machinery management systems. Methods: The development of agricultural machinery management was summarized, and the representative patents related to agricultural machinery management systems, agricultural machinery automatic control systems, and agricultural machinery terminals were analyzed. Results: By analyzing the existing patents of the agricultural machinery management system, the paper summarized their applications in agricultural management and obtained their future development trend. Conclusion: In agricultural machinery management, we should actively adopt complementary strategies to solve various problems and improve the management level of agricultural machinery. The continuous improvement of the agricultural machinery management system is of great significance to the automation of agricultural production and the modernization of agricultural management in China.

Agricultural carbon credits: A pathway to environmental sustainability

Climate change and ensuring food security for a rapidly growing global population are two of the biggest challenges in agriculture. To meet the commitments made in the Paris Climate Agreement, it is important to use effective methods for managing soil that can help sequester and stabilise carbon. Conservation agriculture has a huge potential to sequester carbon in plants and soil, making it a viable option for carbon trading despite its significant contribution to global greenhouse gas emissions. Carbon sequestration can be achieved through sustainable practices such as adopting conservation agriculture, crop rotation, cover crop cultivation, crop residue incorporation or mulching, effective management of nutrient supply to crops, and transforming towards organic agriculture and agroforestry. These practices promote food security and environmental improvement and help mitigate global warming. Carbon pricing mechanisms are policies that impose a cost on carbon pollution, encouraging people and organisations to choose low-carbon options and reduce their emissions. Agricultural producers can benefit from carbon trading by earning extra revenue by selling their excess carbon credits to those who emit higher amounts of greenhouse gases. Carbon credit systems in agriculture are still in the early stages, so farmers may have more opportunities to participate in future carbon trading.

Using Marker-Assisted Selection to Develop a Drought-Tolerant Rice Line with Enhanced Resistance to Blast and Brown Planthopper

Rice is a major global staple crop, but rising temperatures and freshwater shortages have made drought one of the most severe abiotic stresses affecting agriculture. Additionally, rice blast disease and brown planthopper infestations significantly impact yields. Therefore, developing water-saving, drought-resistant, high-yielding, and disease-resistant rice varieties is critical for sustainable rice production. The new water-saving and drought-resistant (WDR) rice ‘Huhan 1516’, bred using marker-assisted selection (MAS) and marker-assisted backcrossing (MABC) techniques, addresses these challenges. This variety is highly adaptable to drought-prone and water-scarce regions such as the Yangtze and Huai River basins. With its high yield, drought tolerance, and broad-spectrum resistance to rice blast (conferred by the Pi2 gene) and brown planthopper (BPH), ‘Huhan 1516’ is suitable for various farming systems and environments. Field trials show that this variety outperforms control varieties by 2.2% in yield and exhibits moderate resistance to both rice blast and brown planthopper. ‘Huhan 1516’ has been recognized as a new water-saving and drought-resistant rice variety by the state, and as a released cultivar, it has great potential for market promotion and application.

Tetracycline resistance gene transfer from Escherichia coli donors to Salmonella Heidelberg in chickens is impacted by the genetic context of donors

Chicken ceca are a rich source of bacteria, including zoonotic pathogens such as Salmonella enterica. The microbiota includes strains/species carrying antimicrobial resistance genes and horizontal transfer of resistance determinants between species may increase the risk to public health and farming systems. Possible sources of these antimicrobial resistance donors – the eggshell carrying bacteria from the hen vertically transmitted to the offspring, or the barn environment where chicks are hatched and raised – has been little explored. In this study, we used Salmonella enterica serovar Heidelberg to evaluate if layer chicks raised in different environments (using combinations of sterilized or non-sterile eggs placed in sterilized isolation chambers or non-sterile rooms) acquired transferable tetracycline resistance genes from surrounding bacteria, especially Escherichia coli. Two-day old chicks were challenged with an antibiotic-susceptible S. Heidelberg strain SH2813nalR and Salmonella recovered from the cecum of birds at different timepoints to test the in vivo acquisition of tetracycline resistance. Tetracycline-resistant E. coli isolates recovered from birds from the in vivo experiment were used to test the in vitro transfer of tetracycline resistance genes from E. coli to Salmonella. Even though Salmonella SH2813nalR colonized the 2-day old chicks after oral challenge, tetracycline-resistant Salmonella transconjugants were not recovered, as previously observed. In vitro experiments provided similar results. We discuss several hypotheses that might explain the absence of transconjugants in vitro and in vivo, despite the presence of diverse plasmids in the recovered E. coli. The factors that can inhibit/promote antimicrobial resistance transfers to Salmonella for different plasmid types need further exploration.

Emerging breakthroughs in membrane filtration techniques and their application in agricultural wastewater treatment: Reusability aspects

Freshwater resources are becoming limited and are rapidly getting polluted due to industrialization and urbanization. Water pollution is a pervasive global challenge both in terms of scarcity and quality. Among other sources, wastewater discharged through agricultural practices are major contributor to environmental pollution. The leading cause of contaminants is the runoff of fertilizers, herbicides, insecticides and animal waste into waterbodies. Conventional treatment methods efficiently remove large particles, organic matter, and nutrients but require extensive infrastructure and produce significant sludge. In contrast, membrane filtration offers superior purification and reuse potential by using semi-permeable membranes to selectively remove contaminants, including suspended solids and dissolved ions. This study examines membrane filtration principles and technologies, emphasizing their role in delivering high-quality effluent for discharge or reuse. The study identifies fertilizers, herbicides, and insecticides as major agricultural contaminants and highlights conventional techniques' ineffectiveness in achieving high purification levels. Membrane filtration effectively remediates a wide range of pollutants, but fouling remains a challenge, addressed by antifouling agents and advanced membrane materials in hybrid processes. The study concludes by highlighting the reusability aspect of membrane filtration in agricultural systems and the potential applications of reclaimed water. This study emphasizes the need for advanced membrane materials and integrated systems for effective utilisation of membrane filtration.

Cropping systems and ecological groups of soil animals jointly affect the transfer of root-derived carbon and mineral nitrogen into the soil food web

Root-derived carbon (C) is a crucial resource fuelling soil food webs. However, the quantity of these resources varies with plant communities and may also influence the flux of mineral nitrogen (N) into belowground food webs. Yet, little is known about how different plant communities, especially in agricultural systems, influence the incorporation of plant C and mineral N into the soil macrofauna. Here, we combined pulse 13C-labelling of plants with 15N-labelling of soil in a crop monoculture (oilseed rape), a mixed grass community (grass and legume mixture) and a young tree plantation (willow) to trace the fluxes of root-derived C and mineral N into earthworms and centipedes as major soil decomposers and predators, respectively, over 28 days. Bulk stable isotope analysis and compound-specific stable isotope analysis of amino acids were used to quantify the uptake of 13C and 15N by soil macrofauna and to investigate the pathways by which these resources are channelled into soil macrofauna. Aligning with their use of plant-derived resources, epigeic and anecic earthworms incorporated more root-derived C than endogeic earthworms, with endogeic earthworms mainly relying on bacteria or bacterial necromass associated with soil organic matter. Generally, macrofauna incorporated both root-derived C and mineral N across cropping systems, but incorporation was more pronounced in rape and grass than in willow. Importantly, root-derived resources facilitated the incorporation of mineral N into soil animal food webs. Centipedes, as one of the most important predators in soil, mainly incorporated root-derived C and mineral N via preying on collembolans, whereas in willow epigeic earthworms likely also contributed to their diet. Overall, the fluxes of root-derived C and mineral N into the soil food web depended on plant communities and soil animal ecological groups, with higher fluxes in herbaceous crops than in tree plantations.

Degradation of a novel herbicide fluchloraminopyr in soil: Dissipation kinetics, degradation pathways, transformation products identification and ecotoxicity assessment

With the continuous application of new agricultural chemicals in agricultural systems, it is imperative to study the environmental fate and potential transformation products (TPs) of these chemicals to better assess their ecological and health risks, as well as guide scientific application. The dissipation of fluchloraminopyr was firstly evaluated under aerobic/anaerobic condition in four representative soils, with Dissipation Time 50 (DT50) values ranging from 0.107 to 4.76 days. Eight TPs generated by soil degradation were identified via Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry (UHPLC-QTOF/MS) and Density Functional Theory (DFT) calculations. The predominant transformation reactions of fluchloraminopyr in soil include oxidation, dechlorination, hydroxylation, and acetylation. The predictions from toxicological software indicated that the acute and chronic toxicity of TPs to aquatic organisms was significantly lower than that of fluchloraminopyr. Moreover, both M267 and M221 exhibited higher acute oral toxicity to terrestrial organisms compared to the parent compound. Consequently, these findings offer essential ecological risk evaluation data for the judicious application of fluchloraminopyr.

Grapevine and maize: Two guard cell shaped strategies to cope with repeated drought stress

Adaptation of crops to recurrent drought stress is crucial for maintaining agricultural productivity and achieving food security under changing climate. Guard cells, pivotal regulators of plant water usage and assimilation, are central to this adaptation process. However, the metabolic dynamics of guard cells under drought stress remain poorly understood, particularly in grapevine, a prominent crop grown in arid regions, and maize, a staple crop with substantial water requirements. In this study, differences in guard cells metabolism during drought stress of grapevine and maize were investigated by performing physiological and metabolomic analyses. Metabolomic analysis highlighted differential responses in amino acids and sugars, with grapevine guard cells displaying greater stability in amino acid and sugar signatures, while maize showed marked increases in sugar levels. These findings suggest two distinct adaptive strategies, a vigorous acclimation of guard cells, as observed in maize, and an attenuated acclimation of guard cells, shown in grapevine. Understanding these metabolic adjustments is helpful for enhancing drought resilience in agricultural systems.

Blockchain-Enabled Smart Contracts for Enhancing Seed Certification Transparency: A Design Science Approach

CONTEXTAchieving zero hunger through food security, improved nutrition, and sustainable agriculture is one of the global agendas. Thus, the quality of seeds is important for ensuring sustainable food security, making seed certification critically important. However, classical seed certification systems are predominantly paper-based with limited digitisation. These systems, even digitised, are often centralised, and they face challenges related to transparency, traceability, and integrity. OBJECTIVEThis study aims to investigate the practicality of blockchain technology in revitalising transparency, traceability, and integrity in the seed certification process. METHODSThis study used a Design Science Research (DSR) approach to design and test a blockchain-based smart contract to improve the seed certification process. Within the DSR framework, the study used literature review and evolutionary prototyping to establish the requirements and design the prototype. RESULTS AND CONCLUSIONSThe findings demonstrate the practical application of blockchain technology in improving aspects of transparency and integrity in the seed certification process. The findings further underscore that smart contracts can be leveraged efficiently to automate and enhance the seed certification process. The findings provide evidence-based frameworks for decision-makers and practitioners to justify the prioritisation of blockchain technology in designing future sustainable agricultural systems. Future studies should investigate how blockchain-based systems for seed certification can be scaled and integrated with existing agricultural systems. SIGNIFICANCEThis study provides both theoretical and practical contributions on application of blockchain technology in the domain of seed supply chain. Specifically, it provides a comprehensive account of the design aspects of blockchain system in the seed certification process.

Unveiling Bacillus rugosus CRI: A multi-stress tolerant endophyte revolutionizing rice resilience

The application of endophytes to mitigate stress in plants, particularly drought and salinity stress, has gained considerable attention, yet their role in rice remains underexplored. This study aimed to investigate the isolation and characterization of multi-stress-tolerant endophytic isolates with multiple plant growth-promoting attributes, including biocontrol potential against plant pathogens, from surface-sterilized leaf, stem, and root samples of various rice cultivars in Kerala. A total of 20 bacterial endophytes were isolated from rice plants and assessed for their plant growth-promoting (PGP) capabilities, biocontrol potential, and resilience to drought and salinity stress. Of these, 7 endophytic isolates exhibited notable PGP traits, and 3 demonstrated antifungal activity against Rhizoctonia solani and Fusarium oxysporum. Notably, only 3 endophytic isolates showed significant tolerance to drought conditions (−1.0 MPa) and salinity (150 mM), alongside strong growth-promoting abilities. The selected isolates significantly increased seed germination and seedling vigour (p ≤ 0.05), highlighting their effectiveness. Among these, the isolate CRI, identified as Bacillus rugosus through morphological, biochemical, and molecular (16S rRNA) analysis, stood out for its remarkable performance. Under stress conditions, rice seedlings treated with the multi-stress-tolerant CRI showed significant improved biomass, resilience, and enhanced biochemical processes, including better photosynthetic pigment levels and maintained membrane integrity. Field emission scanning electron microscopy (FE-SEM) confirmed the presence of these bacteria within the rice roots, underscoring their potential as a novel approach for enhancing stress tolerance and promoting rice growth. This study represents the first discovery of Bacillus rugosus as a potent multi-stress-tolerant endophyte, with dual benefits of promoting plant growth and exhibiting biocontrol activity. These findings pave the way for innovative strategies aimed at enhancing crop resilience and productivity, particularly in the face of increasing abiotic stressors in agricultural systems.

Aeroponics: An emerging food growing system in sustainable agriculture for food security

Aeroponics: An emerging food growing system in sustainable agriculture for food security

Assessing forecast performance of daily reference evapotranspiration: A comparison of equations, machine and deep learning using weather forecasts

An accurate forecast of short-term reference evapotranspiration (ET0) is crucial for effective farm and irrigation scheduling management. The techniques of forecasting ET0 have progressed from empirical equations to artificial intelligence-based models. However, gaps have remained in comprehensively evaluating the ET0 forecast performance discrepancies between various methods based on weather forecasts in addition to historical meteorological data, as well as investigating the effect of the amount of input variables on ET0 forecast accuracy. Here, the study evaluated the forecast accuracy of five conventional equations calibrated and six machine learning (ML) and deep learning (DL) models in predicting daily ET0 for a lead time of 1–7 days in the North China Plain (NCP). Comparative evaluations indicate that the Analytical Penman-Monteith (APM) is the optimum empirical equation for forecasting ET0, but its accuracy decreases as lead times increase. Conversely, ML and DL models consistently outperform empirical equations, characterized by lower mean absolute error (MAE) and root mean square error (RMSE) as well as correlation coefficient and Nash-Sutcliffe efficiency coefficient approaching 1 across all lead times. Notably, the Bidirectional Long short-term memory (Bi-LSTM) model outperforms other models, maintaining robust and effective forecast performance even on day 7. Moreover, with the increasing input variables, combining weather forecasts and historical meteorological data, the forecast performance of all models is improved, with significant enhancement observed in the Bi-LSTM model. This work provides valuable insights for choosing appropriate models to forecast ET0, holding essential in regional managing farm and irrigation systems.

Agricultural land-use system management: research progress and perspectives

Agricultural land-use system management: research progress and perspectives