LEADER 05316nam 22006495 450 001 9911015865903321 005 20250702130324.0 010 $a3-031-93087-8 024 7 $a10.1007/978-3-031-93087-4 035 $a(MiAaPQ)EBC32195986 035 $a(Au-PeEL)EBL32195986 035 $a(CKB)39578305800041 035 $a(DE-He213)978-3-031-93087-4 035 $a(EXLCZ)9939578305800041 100 $a20250702d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI and Data Analytics in Precision Agriculture for Sustainable Development /$fedited by Sita Rani, Soumi Dutta, Álvaro Rocha, Korhan Cengiz 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (438 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1215 311 08$a3-031-93086-X 327 $aPrecision Agriculture for Sustainable Development: Concepts and Applications -- AI4AI: Revolutionizing Agriculture with Artificial Intelligence -- Evolving Role of Applied AI in Crop Farming -- Role of Artificial Intelligence in Precision Farming -- Precision Agriculture: Fuzzy Logic or Deep Neural Network Models for Robust Crop Disease Screening -- Machine Learning Models for Crop Management -- Enhancing Agricultural Climate Resilience through Machine Learning Models and Hyper-Parameter Tuning -- Enhancing Crop Resilience to Climate Change with AI -- AI-Based Smart Irrigation Systems for Water Conservation -- Sensor Technologies and Blockchain Integration for Data-Driven Precision Agriculture -- Satellite Imagery and GIS Applications in Precision Agriculture -- Leveraging GIS and Remote Sensing for Agricultural Advancement and Economic Development -- Projecting Ecological Footprint and Biocapacity: Insights into Sustainable Agriculture and Development -- Projecting Ecological Footprint and Biocapacity: Insights into Sustainable Agriculture and Development -- Evaluating Sentinel-2 and Sentinel-1 for Land Use / Land Cover Classification in a Rice-Producing Region of Uruguay -- Enhancing Potato Crop Health: A CNN-Based System for Early Detection of Early and Late Blight -- Development of a Neutrosophic Set Theory based Feature Selection method for Classification of Paddy Seed -- Optimizing Potato Crop Water Quality: A Comparative Analysis of Machine Learning Techniques and Gradient Boosting Approaches -- EFFECTS OF THE FREQUENCY EMISSIONS OF THE Tadarita brasiliensis SIMULATED USING ELECTRONIC DEVICE FOR REPELLING Copitarsia decolora (Lepidoptera: Noctuidae) ADULTS. 330 $aThis book offers a comprehensive analysis of artificial intelligence (AI) and data analytics in precision agriculture. The integration of technology in agriculture is revolutionizing traditional farming practices, paving the way for sustainability. Precision farming, powered by AI, IoT, and big data, optimizes resource use by enabling real-time monitoring of soil health, weather conditions, and crop growth. Automated irrigation systems and drones reduce water wastage and enhance productivity. Biotechnology advances, such as genetically modified crops and CRISPR gene editing, improve yield, pest resistance, and climate adaptability. Vertical farming and hydroponics offer space-efficient solutions, minimizing land degradation and water consumption. Robotics and autonomous machinery streamline labor-intensive tasks, reducing reliance on chemical inputs. Blockchain ensures transparency in the food supply chain, promoting fair trade and reducing food fraud. Renewable energy sources, like solar-powered farms, further lower agriculture?s carbon footprint. By adopting these innovations, farmers can produce more with fewer resources, ensuring food security while preserving the environment. Embracing technology-driven agriculture is crucial for meeting global food demands sustainably, combating climate change, and fostering economic resilience in farming communities. The future of agriculture lies in intelligent, data-driven, and eco-friendly solutions that balance productivity with environmental stewardship. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1215 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aAgriculture 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aData Engineering 606 $aAgriculture 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 0$aAgriculture. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aAgriculture. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aRani$b Sita$01833407 701 $aDutta$b Soumi$01365675 701 $aRocha$b Álvaro$01077024 701 $aCengiz$b Korhan$01359531 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015865903321 996 $aAI and Data Analytics in Precision Agriculture for Sustainable Development$94408328 997 $aUNINA