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Research ArticleOpen accessEvery word in the titleDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffects of Maize Potato Intercropping and Different Fertilization Methods on Rhizosphere Soil Microorganisms and Yield of PotatoHuanjin Ma, Shengguang Xu et al.A field experiment with three replicates was conducted to explore the effects of maize-potato intercropping and different nitrogen application strategies on rhizosphere soil microorganisms and potato yield. Microbial community analysis was based on relative abundance. Maize-potato intercropping improves land use efficiency, yet how differentiated nitrogen management regulates rhizosphere microecology and potato productivity in this system remains unclear. Clarifying nitrogen-mediated shifts … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 14 Sep 2026 · 790 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,096 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePhosphorus Availability Modulates Bradyrhizobium japonicum’s Impact on Soil Micribial Biomass and Soybean (Glycine max (L.) Merrill) Yield in Lubumbashi Tropical SoilsBen Tshibuyi Kasu-Bandi et al.Tropical soils in sub-Saharan Africa exhibit low fertility, high acidity, and limited Phosphorus (P) availability, a key nutrient for agricultural productivity and the sustainability of cropping systems. This deficiency, exacerbated by the strong fixation of P in acidic soils, not only limits plant growth but also the efficiency of the nitrogen-fixing symbiosis between soybeans (Glycine max (L.) Merrill) and Bradyrhizobium … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 13 May 2026 · 1,980 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Integrated Machine Learning Framework for Citrus Grading and Yield Prediction Using Classifier-Informed RegressionLydia Dede Obeng, Isaac O. OsunmakindeAgriculture remains a cornerstone of human sustenance, yet accurate citrus fruit grading and yield predictions remain significant challenges due to visual similarities between varieties such as oranges and grapefruits. This includes the inefficiencies of manual grading. This study presents a new dual-function machine learning system that integrates classification and regression to simultaneously grade citrus fruits and forecast crop yields. This … …Journal of Computer Science, Vol. 22, Issue 4 · 24 Apr 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Corn Yield and Soil Fertility in Light Chestnut Soils Using BioEcoGum: A Case Study from KazakhstanKuanysh Karabayev, Kanat Kulymbet, Ashirali Smanov, Gulbira AtashevaThis study evaluates the efficacy of the biological fertilizer BioEcoGum on corn yield and soil fertility under temperate climatic conditions at Karasai, Kazakhstan. The aim of this study was to assess the agronomic, soil, and economic effects of BioEcoGum application on corn (Zea mays L.) cultivated on light chestnut soils in southeastern Kazakhstan. A randomized block design was used, incorporating … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 9 Jan 2026 · 2,516 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Integrated Weed Management on Yield and Yield Component of Bread Wheat in Guji Zone, Southern OromiaLulu Misgana, Yared Tesfaye, Dagne Abu et al.Bread wheat (Triticum aestivum L.) is one of the most important food crops in the world, providing a staple food for over 35% of the global population; in Ethiopia, however, production in highland regions like the Guji zone is severely constrained by heavy weed infestation, causing significant yield gaps. While Integrated Weed Management (IWM) is a promising solution, locally validated … …American Journal of Agricultural and Biological Sciences, Vol. 20, Issue 1 · 5 Dec 2025 · 3,424 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrated ARIMA and Multi-Scale GRU for Crop Recommendation and Yield Prediction in Precision AgricultureVani Vijay Kumar Ballapuram, Gurupraksh Chirathahalli DyamannaAgriculture is the fundamental source of food, income, and livelihood for rural communities in India. Numerous crops are affected due to the lack of technical decision-making support and variations in weather patterns, temperature, rainfall, and atmosphere factors, which play a critical role in defining crop yield. Hence, choosing the appropriate crop to maximize yield is key to enhancing real-time farming … …Journal of Computer Science, Vol. 21, Issue 10 · 26 Nov 2025 · 2,022 accessesView PDFCite