The　rapid　development　of　modern　agricultural　biotechnology　and　information　technology　has　become　a　key　driver　of　modern　agricultural　growth.　The　demand　for　ion　detection　is　prevalent　in　all　aspects　of　agriculture.　This　study　details　the　research　on　an　ion　sensor　agricultural　system　using　potassium　(K)　ion-selective　electrodes　(ISEs).　The　main　emphasis　is　on　the　application　of　artificial　neural　networks　(ANNs)　for　driving　ISE　development　of　accuracy.　ISEs　based　on　solid　contact　with　metal　oxides,　specifically　manganese　dioxide,　are　studied.　Moreover,　the　design　details　of　an　ion　signal　acquisition　device　using　the　NI-9205　acquisition　card　and　LabVIEW　are　presented.　Finally,　based　on　experimental　results　of　nutrient　solution　samples,　ANNs　show　better　performance　than　the　multiple　linear　regression　method.　The　mean　relative　error　of　K-ISE　detection　was　maintained　within　4%.　This　study　thoroughly　discusses　ISE　technology　to　promote　its　adoption　in　agriculture.